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<div align="center"> <h1>Deep Learning on 3D Semantic Segmentation: a Detailed Review</h1> <p>This repo contains a quick classification of over 400 3D Semantic Segmentation papers using the Taxonomy Scheme proposed in the Deep Learning on 3D Semantic Segmentation: a Detailed Review paper </p> <hr style="color: #333; height: 2px; width: 85%"> </div> <div align="justify"> <h2> Abstract </h2> <p> In this paper an exhaustive review and comprehensive analysis of recent and former deep learning methods in 3D Semantic Segmentation (3DSS) is presented. In the related literature, the taxonomy scheme used for the classification of the 3DSS deep learning methods is ambiguous. Based on the taxonomy schemes of 9 existing review papers, a new taxonomy scheme of the 3DSS deep learning methods is proposed, aiming to standardize it and improve the comparability and clarity across related studies. Furthermore, an extensive overview of the available 3DSS indoor and outdoor datasets is provided along with their links. The core part of the review is the detailed presentation of recent and former 3DSS deep learning methods and their classification using the proposed taxonomy scheme along with their GitHub repositories. Additionally, a brief but informative analysis of the evaluation metrics and loss functions used in 3DSS is included. Finally, a fruitful discussion of the examined 3DSS methods and datasets, is presented to foster new research directions and applications in the field of 3DSS. Supplementary, to this review a GitHub repository is provided (https://github.com/thobet/Deep-Learning-on-3D-Semantic-Segmentation-a-Detailed-Review) including a quick classification of over 400 3DSS methods, using the proposed taxonomy scheme. </p> </div>

Please find the preprint at arXiv

<h2> 3D Semantic Segmentation Taxonomy Scheme</h2> <img src="./figures/Taxonomy_Scheme_Figure.png">

Abbreviations: Attention Mechanism and Transformers (Attention M. & Transformers), Discretization Based Methods (D), Dimensionality Reduction Based Methods (DR), Graph Based Methods (G), Point Based Methods (P)

3D Semantic Segmentation

Point Based methods

The Point Based Methods use the raw 3D points to extract meaningful features for 3DSS. The following table present the collected papers of the Point-Based methods:

Publication YearAuthorTitleCode
02017Charles, R. Qi; Su, Hao; Kaichun, Mo; Guibas, Leonidas J.PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
12017Qi, Charles Ruizhongtai; Yi, Li; Su, Hao; Guibas, Leonidas JPointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
142017Engelmann, Francis; Kontogianni, Theodora; Hermans, Alexander; Leibe, BastianExploring Spatial Context for 3D Semantic Segmentation of Point Clouds
282018Hermosilla, Pedro; Ritschel, Tobias; Vázquez, Pere-Pau; Vinacua, Àlvar; Ropinski, TimoMonte carlo convolution for learning on non-uniformly sampled point clouds
272018Atzmon, Matan; Maron, Haggai; Lipman, YaronPoint convolutional neural networks by extension operators
312018Shen, Yiru; Feng, Chen; Yang, Yaoqing; Tian, DongMining point cloud local structures by kernel correlation and graph pooling
322018Wang, Shenlong; Suo, Simon; Ma, Wei-Chiu; Pokrovsky, Andrei; Urtasun, RaquelDeep parametric continuous convolutional neural networks
332018Groh, Fabian; Wieschollek, Patrick; Lensch, Hendrik P. A.Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
232018Li, Yangyan; Bu, Rui; Sun, Mingchao; Wu, Wei; Di, Xinhan; Chen, BaoquanPointCNN: Convolution On X-Transformed Points
342018Li, Jiaxin; Chen, Ben M.; Lee, Gim HeeSo-net: Self-organizing network for point cloud analysis
352018Xie, Saining; Liu, Sainan; Chen, Zeyu; Tu, ZhuowenAttentional shapecontextnet for point cloud recognition
362018Rethage, Dario; Wald, Johanna; Sturm, Jurgen; Navab, Nassir; Tombari, FedericoFully-convolutional point networks for large-scale point clouds
292018Hua, Binh-Son; Tran, Minh-Khoi; Yeung, Sai-KitPointwise convolutional neural networks
302018Xu, Yifan; Fan, Tianqi; Xu, Mingye; Zeng, Long; Qiao, YuSpidercnn: Deep learning on point sets with parameterized convolutional filters
1252018Huang, Qiangui; Wang, Weiyue; Neumann, UlrichRecurrent Slice Networks for 3D Segmentation of Point Clouds
62018Ye, Xiaoqing; Li, Jiamao; Huang, Hexiao; Du, Liang; Zhang, Xiaolin3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation
582018Jiang, Mingyang; Wu, Yiran; Zhao, Tianqi; Zhao, Zelin; Lu, CewuPointsift: A sift-like network module for 3d point cloud semantic segmentation
1312018Ma, Yanxin; Guo, Yulan; Lei, Yinjie; Lu, Min; Zhang, Jun3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation
712019Komarichev, Artem; Zhong, Zichun; Hua, JingA-CNN: Annularly Convolutional Neural Networks on Point Clouds
862019Kong, Xin; Zhai, Guangyao; Zhong, Baoquan; Liu, YongPASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
872019Abdou, Mohammed; Elkhateeb, Mahmoud; Sobh, Ibrahim; Elsallab, AhmadEnd-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
622019Mao, Jiageng; Wang, Xiaogang; Li, HongshengInterpolated Convolutional Networks for 3D Point Cloud Understanding
562019Pham, Quang-Hieu; Nguyen, Thanh; Hua, Binh-Son; Roig, Gemma; Yeung, Sai-KitJsis3d: Joint semantic-instance segmentation of 3d point clouds with multi-task pointwise networks and multi-value conditional random fields
592019Zhao, Zongyue; Liu, Min; Ramani, KarthikDAR-Net: Dynamic aggregation network for semantic scene segmentation
792019Kumar, Ashutosh; Anders, Katharina; Winiwarter, Lukas; Höfle, BernhardFeature relevance analysis for 3D point cloud classification using deep learning
382019Liu, Yongcheng; Fan, Bin; Xiang, Shiming; Pan, ChunhongRelation-Shape Convolutional Neural Network for Point Cloud Analysis
392019Zhang, Zhiyuan; Hua, Binh-Son; Yeung, Sai-KitShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics
1022019Liu, Xinhai; Han, Zhizhong; Liu, Yu-Shen; Zwicker, MatthiasPoint2sequence: Learning the shape representation of 3d point clouds with an attention-based sequence to sequence network
572019Chen, Lin-Zhuo; Li, Xuan-Yi; Fan, Deng-Ping; Wang, Kai; Lu, Shao-Ping; Cheng, Ming-MingLSANet: Feature learning on point sets by local spatial aware layer
552019Liu, Xingyu; Yan, Mengyuan; Bohg, JeannetteMeteornet: Deep learning on dynamic 3d point cloud sequences
412019Wang, Xinlong; Liu, Shu; Shen, Xiaoyong; Shen, Chunhua; Jia, JiayaAssociatively Segmenting Instances and Semantics in Point Clouds
1032019Malinverni, E. S.; Pierdicca, R.; Paolanti, M.; Martini, M.; Morbidoni, C.; Matrone, F.; Lingua, A.DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD
752019Zhang, Zhiyuan; Hua, Binh-Son; Rosen, David W.; Yeung, Sai-KitRotation Invariant Convolutions for 3D Point Clouds Deep Learning
1072019Zhao, Hengshuang; Jiang, Li; Fu, Chi-Wing; Jia, JiayaPointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
1062019Zhao, Chenxi; Zhou, Weihao; Lu, Li; Zhao, QijunPooling Scores of Neighboring Points for Improved 3D Point Cloud Segmentation
212019Choy, Christopher; Gwak, JunYoung; Savarese, Silvio4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
22019Wu, Wenxuan; Qi, Zhongang; Fuxin, LiPointConv: Deep Convolutional Networks on 3D Point Clouds
1082019Lei, Huan; Akhtar, Naveed; Mian, AjmalOctree Guided CNN With Spherical Kernels for 3D Point Clouds
102019Engelmann, Francis; Kontogianni, Theodora; Schult, Jonas; Leibe, BastianKnow What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
172019Thomas, Hugues; Qi, Charles R.; Deschaud, Jean-Emmanuel; Marcotegui, Beatriz; Goulette, François; Guibas, Leonidas J.KPConv: Flexible and Deformable Convolution for Point Clouds
262019Chen, Weikai; Han, Xiaoguang; Li, Guanbin; Chen, Chao; Xing, Jun; Zhao, Yajie; Li, HaoDeep RBFNet: Point Cloud Feature Learning using Radial Basis Functions
1332019Fan, Hehe; Yang, YiPointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
892020Wu, Guangnan; Pan, Zhiyi; Jiang, Peng; Tu, ChangheBi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
882020Wong, Chi-Chong; Vong, Chi-ManEfficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts
32020Heng Zhou, Zhijun Fang, Yongbin Gao, Bo Huang, Cengsi Zhong, Ruoxi ShangFeature fusion network based on attention mechanism for 3D semantic segmentation of point clouds
852020Zhang, Jiazhao; Zhu, Chenyang; Zheng, Lintao; Xu, KaiFusion-aware point convolution for online semantic 3d scene segmentation
842020He, Tong; Gong, Dong; Tian, Zhi; Shen, ChunhuaLearning and memorizing representative prototypes for 3d point cloud semantic and instance segmentation
832020Engelmann, Francis; Kontogianni, Theodora; Leibe, BastianDilated point convolutions: On the receptive field size of point convolutions on 3d point clouds
802020Fang, Yuan; Xu, Chunyan; Cui, Zhen; Zong, Yuan; Yang, JianSpatial Transformer Point Convolution
632020Liu, Ze; Hu, Han; Cao, Yue; Zhang, Zheng; Tong, XinA Closer Look at Local Aggregation Operators in Point Cloud Analysis
922020Cheng, Mingmei; Hui, Le; Xie, Jin; Yang, Jian; Kong, HuiCascaded Non-local Neural Network for Point Cloud Semantic Segmentation
912020Wang, Guangming; Yang, Yehui; Zhang, Huixin; Liu, Zhe; Wang, HeshengSpherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
502020Yan, Xu; Zheng, Chaoda; Li, Zhen; Wang, Sheng; Cui, ShuguangPointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling
152020Hu, Qingyong; Yang, Bo; Xie, Linhai; Rosa, Stefano; Guo, Yulan; Wang, Zhihua; Trigoni, Niki; Markham, AndrewRandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
422020Wei, Jiacheng; Lin, Guosheng; Yap, Kim-Hui; Hung, Tzu-Yi; Xie, LihuaMulti-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
432020Hu, Zeyu; Zhen, Mingmin; Bai, Xuyang; Fu, Hongbo; Tai, Chiew-lanJSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
1052021Liu, Hao; Guo, Yulan; Ma, Yanni; Lei, Yinjie; Wen, GongjianSemantic Context Encoding for Accurate 3D Point Cloud Segmentation
722021Boulch, Alexandre; Puy, Gilles; Marlet, RenaudFKAConv: Feature-Kernel Alignment for Point Cloud Convolution
1112021Engel, Nico; Belagiannis, Vasileios; Dietmayer, KlausPoint Transformer Engel
452021Su, Yanfei; Liu, Weiquan; Yuan, Zhimin; Cheng, Ming; Zhang, Zhihong; Shen, Xuelun; Wang, ChengDLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds
442021Xu, Mingye; Zhou, Zhipeng; Zhang, Junhao; Qiao, YuInvestigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
202021Zhao, Hengshuang; Jiang, Li; Jia, Jiaya; Torr, Philip H S; Koltun, VladlenPoint Transformer Zhao
932021Lu, Tao; Wang, Limin; Wu, GangshanCGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation
902021Yi, Li; Gong, Boqing; Funkhouser, ThomasComplete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
812021Qiu, Shi; Anwar, Saeed; Barnes, NickDense-Resolution Network for Point Cloud Classification and Segmentation
162021Liu, Kangcheng; Gao, Zhi; Lin, Feng; Chen, Ben M.FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
182021Qiu, Shi; Anwar, Saeed; Barnes, NickSemantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
192021Fan, Siqi; Dong, Qiulei; Zhu, Fenghua; Lv, Yisheng; Ye, Peijun; Wang, Fei-YueSCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
822021Yin, Chao; Wang, Boyu; Gan, Vincent J.L.; Wang, Mingzhu; Cheng, Jack C.P.Automated semantic segmentation of industrial point clouds using ResPointNet++
962022Chen, Minghong; Zhang, Guanghui; Shi, Wenjun; Zhu, Dongchen; Zhang, Xiaolin; Li, JiamaoDual-Neighborhood Feature Aggregation Network for Point Cloud Semantic Segmentation
942022Luo, Chuanyu; Li, Xiaohan; Cheng, Nuo; Li, Han; Lei, Shengguang; Li, PuMVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
1322022Ma, Xu; Qin, Can; You, Haoxuan; Ran, Haoxi; Fu, YunRethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
972022Pan, Jieyun; Cao, Kun; Zhao, Bingxin; Li, Weihong; Zhang, TianyangSemantic Segmentation of Large-Scale Point Clouds by Encoder-Decoder Shared MLPs with Weighted Focal Loss
1092022Du, C; Torres, M A Vega; Pan, Y; Borrmann, AMV-KPConv: Multi-view KPConv For Enhanced 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Images
952022Li, Mengtian; Xie, Yuan; Shen, Yunhang; Ke, Bo; Qiao, Ruizhi; Ren, Bo; Lin, Shaohui; Ma, LizhuangHybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization
1042022Zheng, Yu; Xu, Xiuwei; Zhou, Jie; Lu, JiwenPointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation
672022Xiangda Lei a, Haiyan Guan a, Lingfei Ma, Yongtao Yu, Zhen Dong, Kyle Gao, Mahmoud Reza Delavar, Jonathan LiWSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds
222022Wu, Xiaoyang; Lao, Yixing; Jiang, Li; Liu, Xihui; Zhao, HengshuangPoint Transformer V2: Grouped Vector Attention and Partition-based Pooling
92022Miao, Zhiqing; Song, Shaojing; Tang, Pan; Chen, Jian; Hu, Jinyan; Gong, YumeiMFFRand: Semantic Segmentation of Point Clouds Based on Multi-Scale Feature Fusion and Multi-Loss Supervision
482022Huang, Wenhua; Zhu, Lei; Wang, WenwuSemantic Segmentation for Point Cloud based on Distance Weighted and Adaptive Augmentation
512022Yaping Lin, George Vosselman, Michael Ying YangWeakly supervised semantic segmentation of airborne laser scanning point clouds
82022Su, Zhonghua; Zhou, Guiyun; Luo, Fulin; Li, Shihua; Ma, Kai-KuangSemantic Segmentation of 3D Point Clouds Based on High Precision Range Search Network
642022Qian, Guocheng; Li, Yuchen; Peng, Houwen; Mai, Jinjie; Hammoud, Hasan; Elhoseiny, Mohamed; Ghanem, BernardPointnext: Revisiting pointnet++ with improved training and scaling strategies
122022Du, Shenglan; Ibrahimli, Nail; Stoter, Jantien; Kooij, Julian; Nan, LiangliangPush-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds
42022Zhang, Ka; Ye, Longjie; Xiao, Wen; Sheng, Yehua; Zhang, Shan; Tao, Xia; Zhou, YaqinA Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation
692022Liao, Kuan-Yu; Xiao, You-Sheng; Fan, Yu-Cheng3D Point Cloud Semantic Segmentation System
72022Wysocki, O.; Grilli, E.; Hoegner, L.; Stilla, U.COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION
52022Song, Yupeng; He, Fazhi; Duan, Yansong; Si, Tongzhen; Bai, JunweiLSLPCT: An Enhanced Local Semantic Learning Transformer for 3D Point Cloud Analysis
682022Qi Chen, Zhenxin Zhang, Siyun Chen, Siyuan Wen, Hao Ma, Zhihua XuA self-attention based global feature enhancing network for semantic segmentation of large-scale urban street-level point clouds
1292023Xue, Le; Gao, Mingfei; Xing, Chen; Martín-Martín, Roberto; Wu, Jiajun; Xiong, Caiming; Xu, Ran; Niebles, Juan Carlos; Savarese, SilvioULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
1102023Shen, Shuo; Xia, Yan; Eich, Andreas; Xu, Yusheng; Yang, Bisheng; Stilla, UweSegTrans: Semantic Segmentation with Transfer Learning for MLS Point Clouds
1122023Artopoulos, Georgios; Maslioukova, Maria I.; Zavou, Christina; Loizou, Marios; Deligiorgi, Marissia; Averkiou, MelinosAn artificial neural network framework for classifying the style of cypriot hybrid examples of built heritage in 3D
1132023Qiu, ShiLearning Deep Feature Representations of 3D Point Cloud Data
1142023Cheng, Ruting; Zeng, Hui; Zhang, Baoqing; Wang, Xuan; Zhao, TianmengFFA-Net: fast feature aggregation network for 3D point cloud segmentation
1152023Decker, Kevin T.; Borghetti, Brett J.Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks
1162023Wang, Haodong; Wang, Di3D Semantic Understanding of Large-Scale Urban Scenes from LiDAR Point Clouds
1172023Sanchez, Jules; Deschaud, Jean-Emmanuel; Goulette, FrançoisCOLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets
1182023Li, Wei; Zhan, Lixin; Min, Weidong; Zou, Yi; Huang, Zheng; Wen, ChengluSemantic Segmentation of Point Cloud with Novel Neural Radiation Field Convolution
1202023Jiang, Zhou; Yang, Jing; Xuan, Chunyu; Zhang, Dong; Du, ShaoyiColor-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation
1212023Xu, Zongyi; Yuan, Bo; Zhao, Shanshan; Zhang, Qianni; Gao, XinboHierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
112023Wang, Shaofan; Liu, Ying; Wang, Lichun; Sun, Yanfeng; Yin, BaocaiPASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds
1232023Wang, Yameng; Wan, Yi; Zhang, Yongjun; Zhang, Bin; Gao, ZhiImbalance knowledge-driven multi-modal network for land-cover semantic segmentation using aerial images and LiDAR point clouds
1242023Yang, Yuwei; Hayat, Munawar; Jin, Zhao; Zhu, Hongyuan; Lei, YinjieZero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis
1302023Ballouch, Zouhair; Hajji, Rafika; Kharroubi, Abderrazzaq; Poux, Florent; Billen, Roland3D Point Cloud Enriched Semantic Segmentation through Knowledge-Enhanced Deep Learning Technique
1262023Wielgosz, Maciej; Puliti, Stefano; Wilkes, Phil; Astrup, RasmusPoint2Tree(P2T)—Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest
1272023Hou, Xiangdan; Yang, Yuequn; Liu, HongpuSemantic Segmentation Network with Adaptive Neighborhood Construction for 3D Point Cloud
1282023Nunes, Lucas; Wiesmann, Louis; Marcuzzi, Rodrigo; Chen, Xieyuanli; Behley, Jens; Stachniss, CyrillTemporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
1192023Saltori, Cristiano; Galasso, Fabio; Fiameni, Giuseppe; Sebe, Nicu; Poiesi, Fabio; Ricci, ElisaCompositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
1222023Royen, Remco; Munteanu, AdrianRESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds
772023Qiu, Shoumeng; Jiang, Feng; Zhang, Haiqiang; Xue, Xiangyang; Pu, JianMulti-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation
762023Xiao, Aoran; Huang, Jiaxing; Xuan, Weihao; Ren, Ruijie; Liu, Kangcheng; Guan, Dayan; Saddik, Abdulmotaleb El; Lu, Shijian; Xing, Eric3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
782023Therrien, Olivier; Amein, Marihan; Xiong, Zhuoran; Gross, Warren J.; Meyer, Brett H.SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation
742023Yan, Siming; Yang, Yuqi; Guo, Yuxiao; Pan, Hao; Wang, Peng-shuai; Tong, Xin; Liu, Yang; Huang, Qixing3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
732023Loiseau, Romain; Vincent, Elliot; Aubry, Mathieu; Landrieu, LoicLearnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
702023Fan, Yu-Cheng; Liao, Kuan-Yu; Xiao, You-Sheng; Lu, Min-Hua; Yan, Wei-Zhe3D Point Cloud Semantic Segmentation System Based on Lightweight FPConv
1342023Wu, Xiaoyang; Jiang, Li; Wang, Peng-Shuai; Liu, Zhijian; Liu, Xihui; Qiao, Yu; Ouyang, Wanli; He, Tong; Zhao, HengshuangPoint Transformer V3: Simpler, Faster, Stronger
662023Zhang, Liting; Zhang, KunSemi-Supervised Semantic Segmentation Network for Point Clouds Based on 3D Shape
652023Cai, Kaiwen; Lu, Chris Xiaoxuan; Huang, XiaoweiUncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings
612023Zhao, Junhao; Huang, Weijie; Wu, Hai; Wen, Chenglu; Yang, Bo; Guo, Yulan; Wang, ChengSemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds from Sparse Frame Annotations
602023Zeng, Ziyin; Hu, Qingyong; Xie, Zhong; Zhou, Jian; Xu, YongyangSmall but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
542023Chen, Min; Zhou, Chengyu; Lv, Qi; Zhu, Qing; Xu, Bo; Hu, Han; Ding, Yulin; Ge, Xuming; Chen, Jie; Guo, XiaocuiA semantic segmentation method for vehicle-borne laser scanning point clouds in motorway scenes
532023Kashefi, Ali; Guibas, Leonidas J.; Mukerji, TapanPhysics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity
522023Stearns, Colton; Liu, Jiateng; Rempe, Davis; Paschalidou, Despoina; Park, Jeong Joon; Mascha, Sebastien; Guibas, Leonidas J.CurveCloudNet: Processing Point Clouds with 1D Structure
492023Mahmoudi Kouhi, Reza; Daniel, Sylvie; Giguère, PhilippeData Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks
472023Huang, Zhuoxu; Zhao, Zhiyou; Li, Banghuai; Han, JungongLCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
462023Huang, Zhening; Wu, Xiaoyang; Zhao, Hengshuang; Zhu, Lei; Wang, Shujun; Hadjidemetriou, Georgios; Brilakis, IoannisGeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
982023Wang, Haosen; Zhou, Yuan; Chen, Tiankai; Qian, Feng; Ma, Yue; Wang, Shifeng; Lu, BoLidar Point Semantic Segmentation Using Dual Attention Mechanism
992023Wang, Zhipeng; Geng, Yixuan; Jia, Limin; Qin, Yong; Chai, Yuanyuan; Tong, Lei; Liu, KeyanSelf-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways
1002023Chen, Runnan; Liu, Youquan; Kong, Lingdong; Chen, Nenglun; Zhu, Xinge; Ma, Yuexin; Liu, Tongliang; Wang, WenpingTowards Label-free Scene Understanding by Vision Foundation Models
1012023Bi, Yuanwei; Zhang, Lujian; Liu, Yaowen; Huang, Yansen; Liu, HaoA Local-Global Feature Fusing Method for Point Clouds Semantic Segmentation
402023Ngo, Tuan Duc; Hua, Binh-Son; Nguyen, KhoiISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
372023Yiqiang Zhao, Xingyi Ma, Bin Hu, Qi Zhang, Mao Ye, Guoqing ZhouA large-scale point cloud semantic segmentation network via local dual features and global correlations
252023Yoo, Sunghwan; Jeong, Yeongjeong; Jameela, Maryam; Sohn, GunhoMRNet: Multiple-Input Receptive Field Network for Large-Scale Point Cloud Segmentation
242023Puy, Gilles; Boulch, Alexandre; Marlet, RenaudUsing a Waffle Iron for Automotive Point Cloud Semantic Segmentation
132023Haznedar, Bulent; Bayraktar, Rabia; Ozturk, Ali Emre; Arayici, YusufImplementing PointNet for point cloud segmentation in the heritage context
1352024Zeng, Ziyin; Qiu, Huan; Zhou, Jian; Dong, Zhen; Xiao, Jinsheng; Li, BijunPointNAT: Large-Scale Point Cloud Semantic Segmentation via Neighbor Aggregation With Transformer

Dimensionality Reduction Based Methods

The Dimensionality Reduction Based Methods transform the 3D point cloud into a lower dimensional space e.g., images, perform semantic segmentation into that space and finally projects the labels back into 3D space. The following table presents the collected papers of the Dimensionality Reduction Based methods:

Publication YearAuthorTitleCode
212017.0Boulch, Alexandre; Saux, Bertrand Le; Audebert, NicolasUnstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
42017.0Varga, Robert; Costea, Arthur; Florea, Horatiu; Giosan, Ion; Nedevschi, SergiuSuper-sensor for 360-degree environment perception: Point cloud segmentation using image features
232017.0Wu, Bichen; Wan, Alvin; Yue, Xiangyu; Keutzer, KurtSqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
272017.0Lawin, Felix Järemo; Danelljan, Martin; Tosteberg, Patrik; Bhat, Goutam; Khan, Fahad Shahbaz; Felsberg, MichaelDeep Projective 3D Semantic Segmentation
582018.0Boulch, Alexandre; Guerry, Joris; Le Saux, Bertrand; Audebert, NicolasSnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks
82018.0Tatarchenko, Maxim; Park, Jaesik; Koltun, Vladlen; Zhou, Qian-YiTangent Convolutions for Dense Prediction in 3D
262018.0Wang, Yuan; Shi, Tianyue; Yun, Peng; Tai, Lei; Liu, MingPointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
252018.0Wu, Bichen; Zhou, Xuanyu; Zhao, Sicheng; Yue, Xiangyu; Keutzer, KurtSqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
522019.0Meyer, Gregory P.; Charland, Jake; Hegde, Darshan; Laddha, Ankit; Vallespi-Gonzalez, CarlosSensor fusion for joint 3d object detection and semantic segmentation
32019.0Piewak, Florian; Pinggera, Peter; Schäfer, Manuel; Peter, David; Schwarz, Beate; Schneider, Nick; Enzweiler, Markus; Pfeiffer, David; Zöllner, MariusBoosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation
342019.0Biasutti, Pierre; Lepetit, Vincent; Aujol, Jean-Francois; Bredif, Mathieu; Bugeau, AurelieLU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
332019.0Zhao, Zhihao; Zhang, Wenquan; Gu, Jianfeng; Yang, Junjie; Huang, KaiLidar Mapping Optimization Based on Lightweight Semantic Segmentation
322019.0Chen, Xieyuanli; Milioto, Andres; Palazzolo, Emanuele; Giguère, Philippe; Behley, Jens; Stachniss, CyrillSuMa++: Efficient LiDAR-based Semantic SLAM
92019.0Milioto, Andres; Vizzo, Ignacio; Behley, Jens; Stachniss, CyrillRangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
352019.0Chen, Yunlu; Mensink, Thomas; Gavves, Efstratios3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
502019.0El Madawi, Khaled; Rashed, Hazem; El Sallab, Ahmad; Nasr, Omar; Kamel, Hanan; Yogamani, SenthilRgb and lidar fusion based 3d semantic segmentation for autonomous driving
292020.0Dewan, Ayush; Burgard, WolframDeeptemporalseg: Temporally consistent semantic segmentation of 3d lidar scans
402020.0Chen, Ke; Oldja, Ryan; Smolyanskiy, Nikolai; Birchfield, Stan; Popov, Alexander; Wehr, David; Eden, Ibrahim; Pehserl, JoachimMvlidarnet: Real-time multi-class scene understanding for autonomous driving using multiple views
222020.0Alnaggar, Yara Ali; Afifi, Mohamed; Amer, Karim; Elhelw, MohamedMulti Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
242020.0Aksoy, Eren Erdal; Baci, Saimir; Cavdar, SelcukSalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
302020.0Triess, Larissa T.; Peter, David; Rist, Christoph B.; Zöllner, J. MariusScan-based semantic segmentation of lidar point clouds: An experimental study
372020.0Liong, Venice Erin; Nguyen, Thi Ngoc Tho; Widjaja, Sergi; Sharma, Dhananjai; Chong, Zhuang JieAMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
162020.0Xu, Chenfeng; Wu, Bichen; Wang, Zining; Zhan, Wei; Vajda, Peter; Keutzer, Kurt; Tomizuka, MasayoshiSqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
142020.0Gerdzhev, Martin; Razani, Ryan; Taghavi, Ehsan; Liu, BingbingTORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
122020.0Cortinhal, Tiago; Tzelepis, George; Aksoy, Eren ErdalSalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
112020.0Zhang, Yang; Zhou, Zixiang; David, Philip; Yue, Xiangyu; Xi, Zerong; Gong, Boqing; Foroosh, HassanPolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
72020.0Kundu, Abhijit; Yin, Xiaoqi; Fathi, Alireza; Ross, David; Brewington, Brian; Funkhouser, Thomas; Pantofaru, CarolineVirtual Multi-view Fusion for 3D Semantic Segmentation
512020.0Krispel, Georg; Opitz, Michael; Waltner, Georg; Possegger, Horst; Bischof, HorstFuseseg: Lidar point cloud segmentation fusing multi-modal data
482021.0Zhuang, Zhuangwei; Li, Rong; Jia, Kui; Wang, Qicheng; Li, Yuanqing; Tan, MingkuiPerception-aware multi-sensor fusion for 3d lidar semantic segmentation
172021.0Zou, Zhenhong; Li, YizheEfficient Urban-scale Point Clouds Segmentation with BEV Projection
492021.0Zhao, Yiming; Bai, Lin; Huang, XinmingFIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
392021.0Duerr, Fabian; Pfaller, Mario; Weigel, Hendrik; Beyerer, JuergenLiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
102021.0Xiao, Aoran; Yang, Xiaofei; Lu, Shijian; Guan, Dayan; Huang, JiaxingFPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
382021.0Razani, Ryan; Cheng, Ran; Taghavi, Ehsan; Bingbing, LiuLite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
52021.0Sanchez Castillo, E.; Griffiths, D.; Boehm, J.SEMANTIC SEGMENTATION OF TERRESTRIAL LIDAR DATA USING CO-REGISTERED RGB DATA
182021.0Li, Shijie; Chen, Xieyuanli; Liu, Yun; Dai, Dengxin; Stachniss, Cyrill; Gall, JuergenMulti-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform
472022.0Wen, Shuhuan; Wang, Tao; Tao, ShengHybrid CNN-LSTM Architecture for LiDAR Point Clouds Semantic Segmentation
02022.0Pellis, E.; Murtiyoso, A.; Masiero, A.; Tucci, G.; Betti, M.; Grussenmeyer, P.AN IMAGE-BASED DEEP LEARNING WORKFLOW FOR 3D HERITAGE POINT CLOUD SEMANTIC SEGMENTATION
152022.0Qiu, Haibo; Yu, Baosheng; Tao, DachengGFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
12022.0Murtiyoso, Arnadi; Pellis, Eugenio; Grussenmeyer, Pierre; Landes, Tania; Masiero, AndreaTowards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry
22022.0Murtiyoso, Arnadi; Landes, Tania; Grussenmeyer, PierreA NOVEL AND AUTOMATIC PHOTOGRAMMETRIC WORKFLOW FOR 3D POINT CLOUD AI-BASED SEMANTIC SEGMENTATION
62022.0Roy, Swalpa Kumar; Deria, Ankur; Hong, Danfeng; Rasti, Behnood; Plaza, Antonio; Chanussot, JocelynMultimodal Fusion Transformer for Remote Sensing Image Classification
132022.0Wang, Song; Zhu, Jianke; Zhang, RuixiangMeta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
572023.0Mei, Jilin; Zhou, Junbao; Hu, YuFew-shot 3D LiDAR Semantic Segmentation for Autonomous Driving
562023.0Engelmann, Francis; Tateno, Keisuke; Manhardt, Fabian; Pollefeys, Marc; Niemeyer, Michael; Tombari, FedericoOpen-Set 3D Scene Segmentation with Rendered Novel Views
552023.0Klokov, Alexey A.; Pak, Di Un; Khorin, Aleksandr; Yudin, Dmitry A.; Kochiev, Leon; Luchinskiy, Vladimir D.; Bezuglyj, Vitaly D.DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds
542023.0Barbato, Francesco; Camuffo, Elena; Milani, Simone; Zanuttigh, PietroContinual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network
532023.0Chen, Yiyang; Zhao, Shanshan; Ding, Changxing; Tang, Liyao; Wang, Chaoyue; Tao, DachengCross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation
312023.0Kong, Lingdong; Liu, Youquan; Chen, Runnan; Ma, Yuexin; Zhu, Xinge; Li, Yikang; Hou, Yuenan; Qiao, Yu; Liu, ZiweiRethinking Range View Representation for LiDAR Segmentation
192023.0Zhang, Jinhui; Jiang, Haiyan; Shao, Huizhi; Song, Qingjun; Wang, Xiaoshuang; Zong, DashuaiSemantic segmentation of in-vehicle point cloud with improved RangeNet++ loss function
202023.0Ando, Angelika; Gidaris, Spyros; Bursuc, Andrei; Puy, Gilles; Boulch, Alexandre; Marlet, RenaudRangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
462023.0Martens, Jan; Blut, Timothy; Blankenbach, JörgCross domain matching for semantic point cloud segmentation based on image segmentation and geometric reasoning
442023.0Peters, Torben; Brenner, Claus; Schindler, KonradSemantic segmentation of mobile mapping point clouds via multi-view label transfer
432023.0Du, Jiahao; Huang, Xiaoci; Xing, Mengyang; Zhang, TaoImproved 3D Semantic Segmentation Model Based on RGB Image and LiDAR Point Cloud Fusion for Automantic Driving
422023.0Pellis, E.; Masiero, A.; Cortesi, I.; Tucci, G.; Betti, M.; Grussenmeyer, P.A PERFORMANCE COMPARISON BETWEEN SEGNET AND DEEPLABV3+ ON THE SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS
412023.0Wei, Zizhong; Zou, Fengshan; Qin, Shengran; Zhang, LiAMBrnet: asymmetric multi-branch residual network for LiDAR semantic segmentation
282023.0Cheng, Hui-Xian; Han, Xian-Feng; Xiao, Guo-QiangTransRVNet: LiDAR Semantic Segmentation With Transformer
592023.0Lu, Jiacheng; Gu, Shuo; Xu, Cheng-Zhong; Kong, HuiA Cylindrical Convolution Network for Dense Top-View Semantic Segmentation with LiDAR Point Clouds
362023.0Samet, Nermin; Siméoni, Oriane; Puy, Gilles; Ponimatkin, Georgy; Marlet, Renaud; Lepetit, VincentYou Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
602023.0Shuai, Hui; Liu, QingshanGeometry-Injected Image-Based Point Cloud Semantic Segmentation
45Tosteberg, PatrikSemantic Segmentation of Point Clouds using Deep Learning

Descritization Based Methods

The Descritization Based methods transform the point cloud into a discrete representation without dimensionality reduction and then apply the convolution operation for 3DSS. The following table presents the collected papers of the Descritization Based methods:

Publication YearAuthorTitleCode
162015.0Zhang, Richard; Candra, Stefan A.; Vetter, Kai; Zakhor, AvidehSensor fusion for semantic segmentation of urban scenes
242016.0Huang, Jing; You, SuyaPoint cloud labeling using 3d convolutional neural network
152016.0Milletari, Fausto; Navab, Nassir; Ahmadi, Seyed-AhmadV-net: Fully convolutional neural networks for volumetric medical image segmentation
252017.0Liu, Fangyu; Li, Shuaipeng; Zhang, Liqiang; Zhou, Chenghu; Ye, Rongtian; Wang, Yuebin; Lu, Jiwen3DCNN-DQN-RNN: A deep reinforcement learning framework for semantic parsing of large-scale 3D point clouds
292017.0Tatarchenko, Maxim; Dosovitskiy, Alexey; Brox, ThomasOctree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
92017.0Riegler, Gernot; Ulusoy, Ali Osman; Geiger, AndreasOctNet: Learning Deep 3D Representations at High Resolutions
272018.0Wang, Zongji; Lu, FengVoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes
392018.0Antonello, Morris; Wolf, Daniel; Prankl, Johann; Ghidoni, Stefano; Menegatti, Emanuele; Vincze, MarkusMulti-View 3D Entangled Forest for Semantic Segmentation and Mapping
32018.0Su, Hang; Jampani, Varun; Sun, Deqing; Maji, Subhransu; Kalogerakis, Evangelos; Yang, Ming-Hsuan; Kautz, JanSPLATNet: Sparse Lattice Networks for Point Cloud Processing
172018.0Zhang, Chris; Luo, Wenjie; Urtasun, RaquelEfficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds
72018.0Graham, Benjamin; Engelcke, Martin; Maaten, Laurens van der3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
112018.0Dai, Angela; Nießner, Matthias3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation
122018.0Le, Truc; Duan, YePointgrid: A deep network for 3d shape understanding
142019.0Radi, Hager; Ali, WaleedVolmap: A real-time model for semantic segmentation of a lidar surrounding view
132019.0Meng, Hsien-Yu; Gao, Lin; Lai, Yu-Kun; Manocha, DineshVv-net: Voxel vae net with group convolutions for point cloud segmentation
332019.0Poux, Florent; Billen, RolandVoxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods
342019.0Xiang, Binbin; Tu, Jingmin; Yao, Jian; Li, LiA Novel Octree-Based 3-D Fully Convolutional Neural Network for Point Cloud Classification in Road Environment
192020.0Zhou, Hui; Zhu, Xinge; Song, Xiao; Ma, Yuexin; Wang, Zhe; Li, Hongsheng; Lin, DahuaCylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
52020.0Yan, Xu; Gao, Jiantao; Li, Jie; Zhang, Ruimao; Li, Zhen; Huang, Rui; Cui, ShuguangSparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
222020.0Gan, Lu; Zhang, Ray; Grizzle, Jessy W.; Eustice, Ryan M.; Ghaffari, MaaniBayesian spatial kernel smoothing for scalable dense semantic mapping
232020.0Shi, Hanyu; Lin, Guosheng; Wang, Hao; Hung, Tzu-Yi; Wang, ZhenhuaSpSequenceNet: Semantic Segmentation Network on 4D Point Clouds
42020.0Rosu, Radu Alexandru; Schütt, Peer; Quenzel, Jan; Behnke, SvenLatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
12020.0Jaritz, Maximilian; Vu, Tuan-Hung; de Charette, Raoul; Wirbel, Emilie; Perez, PatrickxMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
362021.0Jiang, Li; Shi, Shaoshuai; Tian, Zhuotao; Lai, Xin; Liu, Shu; Fu, Chi-Wing; Jia, JiayaGuided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
452021.0Ye, Maosheng; Wan, Rui; Xu, Shuangjie; Cao, Tongyi; Chen, QifengDrinet++: Efficient voxel-as-point point cloud segmentation
462021.0Genova, Kyle; Yin, Xiaoqi; Kundu, Abhijit; Pantofaru, Caroline; Cole, Forrester; Sud, Avneesh; Brewington, Brian; Shucker, Brian; Funkhouser, ThomasLearning 3D Semantic Segmentation with only 2D Image Supervision
282021.0Zhu, Xinge; Zhou, Hui; Wang, Tai; Hong, Fangzhou; Ma, Yuexin; Li, Wei; Li, Hongsheng; Lin, DahuaCylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
02021.0Wei Liu, Zhiming Luo, Yuanzheng Cai, Ying Yu, Yang Ke, Jose Marcato Junior, Wesley Nunes Gonçalves, Jonathan LiAdversarial unsupervised domain adaptation for 3D semantic segmentation with multi-modal learning
202021.0Liu, Zhengzhe; Qi, Xiaojuan; Fu, Chi-WingOne Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
62021.0Wang, Peng-Shuai; Yang, Yu-Qi; Zou, Qian-Fang; Wu, Zhirong; Liu, Yang; Tong, XinUnsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
502022.0Li, Miaoyu; Zhang, Yachao; Xie, Yuan; Gao, Zuodong; Li, Cuihua; Zhang, Zhizhong; Qu, YanyunCross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation
82022.0Rozenberszki, David; Litany, Or; Dai, AngelaLanguage-Grounded Indoor 3D Semantic Segmentation in the Wild
352022.0Schütt, Peer; Rosu, Radu Alexandru; Behnke, SvenAbstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice
372022.0Shin, Inkyu; Tsai, Yi-Hsuan; Zhuang, Bingbing; Schulter, Samuel; Liu, Buyu; Garg, Sparsh; Kweon, In So; Yoon, Kuk-JinMM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
382022.0Wang, Ziyi; Rao, Yongming; Yu, Xumin; Zhou, Jie; Lu, JiwenSemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
22022.0Ye, Dongqiangzi; Chen, Weijia; Zhou, Zixiang; Xie, Yufei; Wang, Yu; Wang, Panqu; Foroosh, HassanLidarMutliNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
432022.0Wang, Fei; Zhuang, Yan; Zhang, Hong; Gu, HongReal-Time 3-D Semantic Scene Parsing With LiDAR Sensors
472023.0Wang, Peng-ShuaiOctFormer: Octree-based Transformers for 3D Point Clouds
442023.0Sima, Chonghao; Tong, Wenwen; Wang, Tai; Chen, Li; Wu, Silei; Deng, Hanming; Gu, Yi; Lu, Lewei; Luo, Ping; Lin, Dahua; Li, HongyangScene as Occupancy
512023.0Zhang, Zihui; Yang, Bo; Wang, Bing; Li, BoGrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
522023.0Zhang, Boxiang; Wang, Zunran; Ling, Yonggen; Guan, Yuanyuan; Zhang, Shenghao; Li, WenhuiMx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
482023.0Schult, Jonas; Engelmann, Francis; Hermans, Alexander; Litany, Or; Tang, Siyu; Leibe, BastianMask3D: Mask Transformer for 3D Semantic Instance Segmentation
262023.0Lai, Xin; Chen, Yukang; Lu, Fanbin; Liu, Jianhui; Jia, JiayaSpherical Transformer for LiDAR-based 3D Recognition
412023.0Lu, Tao; Ding, Xiang; Liu, Haisong; Wu, Gangshan; Wang, LiminLinK: Linear Kernel for LiDAR-based 3D Perception
402023.0Shi, Hanyu; Li, Ruibo; Liu, Fayao; Lin, GuoshengTemporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences
322023.0Zaboli, Mahdiye; Rastiveis, Heidar; Hosseiny, Benyamin; Shokri, Danesh; Sarasua, Wayne A.; Homayouni, SaeidD-Net: A Density-Based Convolutional Neural Network for Mobile LiDAR Point Clouds Classification in Urban Areas
312023.0Daniel Lamas, Andr´es Justo, Mario Soil´an, Manuel Cabaleiro, Bel´en RiveiroInstance and semantic segmentation of point clouds of large metallic truss bridges
302023.0Yang, Yu-Qi; Guo, Yu-Xiao; Xiong, Jian-Yu; Liu, Yang; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Guo, BainingSwin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
532023.0Wang, Fei; Wu, Zhao; Yang, Yujie; Li, Wanyu; Liu, Yisha; Zhuang, YanReal-Time Semantic Segmentation of LiDAR Point Clouds on Edge Devices for Unmanned Systems
212023.0Narasimhamurthy, J.; Vaiapury, Karthikeyan; Muthuganapathy, Ramanathan; Purushothaman, BalamuralidharHierarchical-Based Semantic Segmentation of 3D Point Cloud Using Deep Learning
182023.0Wang, Fei; Yang, Yujie; Wu, Zhao; Zhou, Jingchun; Zhang, WeishiReal-Time Semantic Segmentation of Point Clouds Based on an Attention Mechanism and a Sparse Tensor
102023.0Qin, Chao; Wang, Yafei; Zhang, Yuchao; Yin, ChengliangBird’s-Eye View Semantic Segmentation and Voxel Semantic Segmentation Based on Frustum Voxel Modeling and Monocular Camera
422023.0Kim, Hyeonseong; Kang, Yoonsu; Oh, Changgyoon; Yoon, Kuk-JinSingle Domain Generalization for LiDAR Semantic Segmentation
542023.0Li, Jiale; Dai, Hang; Han, Hao; Ding, YongMSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving
492018.0Hou, Ji; Dai, Angela; Niessner, Matthias3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Graph Based Methods

The Graph based mehtods transform the point cloud into a graph and use the nodes and the edges of the graph to extract meaningful features for 3DSS. The following table presents the collected papers of the Graph Based methods:

Publication YearAuthorTitleCode
152017Qi, Xiaojuan; Liao, Renjie; Jia, Jiaya; Fidler, Sanja; Urtasun, Raquel3d graph neural networks for rgbd semantic segmentation
302018Wang, Chu; Samari, Babak; Siddiqi, KaleemLocal Spectral Graph Convolution for Point Set Feature Learning
292018Sun, Ying; Zhang, Xinchang; Xin, Qinchuan; Huang, JianfengDeveloping a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data
62018Landrieu, Loic; Simonovsky, MartinLarge-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
02019Wang, Yue; Sun, Yongbin; Liu, Ziwei; Sarma, Sanjay E.; Bronstein, Michael M.; Solomon, Justin M.Dynamic Graph CNN for Learning on Point Clouds
142019Li, Guohao; Muller, Matthias; Thabet, Ali; Ghanem, BernardDeepGCNs: Can GCNs Go As Deep As CNNs?
92019Wang, Lei; Huang, Yuchun; Hou, Yaolin; Zhang, Shenman; Shan, JieGraph Attention Convolution for Point Cloud Semantic Segmentation
132019Zhiheng, Kang; Ning, LiPyramNet: Point cloud pyramid attention network and graph embedding module for classification and segmentation
122019Landrieu, Loic; Boussaha, MohamedPoint cloud oversegmentation with graph-structured deep metric learning
192020Master Thesis Neighborhood Pooling in Graph Neural Networks for 3D and 4D Semantic Segmentation
182020Wang, Haiyan; Rong, Xuejian; Yang, Liang; Feng, Jinglun; Xiao, Jizhong; Tian, YingliWeakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
172020Xu, Xun; Lee, Gim HeeWeakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels
162020Liang, Zhidong; Yang, Ming; Wang, Chunxiang3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
332020Ali Khan, Saqib; Shi, Yilei; Shahzad, Muhammad; Xiang Zhu, XiaoFGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds
52021Li, Guohao; Müller, Matthias; Qian, Guocheng; Delgadillo, Itzel C.; Abualshour, Abdulellah; Thabet, Ali; Ghanem, BernardDeepGCNs: Making GCNs Go as Deep as CNNs
202021Zhao, Na; Chua, Tat-Seng; Lee, Gim HeeFew-shot 3D Point Cloud Semantic Segmentation
272021Cheng, Mingmei; Hui, Le; Xie, Jin; Yang, JianSspc-net: Semi-supervised semantic 3d point cloud segmentation network
12022Wan, Jie; Xu, Yongyang; Qiu, Qinjun; Xie, ZhongA geometry-aware attention network for semantic segmentation of MLS point clouds
22022Cao, Yuwei; Teruggi, Simone; Fassi, Francesco; Scaioni, MarcoA Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation
42022Murtiyoso, A.; Matrone, F.; Martini, M.; Lingua, A.; Grussenmeyer, P.; Link to external site, this link will open in a new window; Pierdicca, R.; Link to external site, this link will open in a new windowAutomatic Training Data Generation in Deep Learning-Aided Semantic Segmentation of Heritage Buildings
32022Yunxiang, Zhou; Ankang, Ji; Limao, Zhang; Xiaolong, XueSampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation
312023Zhang, Rongting; Zhang, Guangyun; Yin, Jihao; Jia, Xiuping; Mian, AjmalMesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes
282023Zhang, Canyu; Wu, Zhenyao; Wu, Xinyi; Zhao, Ziyu; Wang, SongFew-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
262023Vecchio, Giuseppe; Prezzavento, Luca; Pino, Carmelo; Rundo, Francesco; Palazzo, Simone; Spampinato, ConcettoMeT: A graph transformer for semantic segmentation of 3D meshes
252023Wei, MaolinFew-shot 3D Point Cloud Semantic Segmentation with Prototype Alignment
102023Zhang, Fengyi; Xia, XiuyuCascaded Contextual Reasoning for Large-scale Point Cloud Semantic Segmentation
112023Zhu, Guanyu; Zhou, Yong; Yao, Rui; Zhu, HanchengCross-Class Bias Rectification for Point Cloud Few-Shot Segmentation
222023Zhang, Qi; Peng, Yuanxi; Zhang, Zhiwen; Li, TengSemantic Segmentation of Spectral Lidar Point Clouds Based on Neural Architecture Search
212023He, Shuting; Jiang, Xudong; Jiang, Wei; Ding, HenghuiPrototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation
322023Chen, Jun; Chen, Yiping; Wang, ChengFeature Graph Convolution Network With Attentive Fusion for Large-Scale Point Clouds Semantic Segmentation
72023Wei, Mingqiang; Wei, Zeyong; Zhou, Haoran; Hu, Fei; Si, Huajian; Chen, Zhilei; Zhu, Zhe; Qiu, Jingbo; Yan, Xuefeng; Guo, Yanwen; Wang, Jun; Qin, JingAGConv: Adaptive Graph Convolution on 3D Point Clouds
82023Hsieh, Chia-Sheng; Ruan, Xiang-JieAutomated Semantic Segmentation of Indoor Point Clouds from Close-Range Images with Three-Dimensional Deep Learning
242023Xue, Wenhao; Yang, Yang; Li, Lei; Huang, Zhongling; Wang, Xinggang; Han, Junwei; Zhang, DingwenWeakly supervised point cloud segmentation via deep morphological semantic information embedding
232023Matrone, F.; Felicetti, A.; Paolanti, M.; Pierdicca, R.EXPLAINING AI: UNDERSTANDING DEEP LEARNING MODELS FOR HERITAGE POINT CLOUDS

Hybrid Based Methods

The Hybrid Based methods combine two or more from the previously described categories. The following tables present the collected papers of the Hybrid Based methods:

All methods

Publication YearAuthorTitleCode
02022Cen, Jun; Yun, Peng; Zhang, Shiwei; Cai, Junhao; Luan, Di; Wang, Michael Yu; Liu, Ming; Tang, MingqianOpen-world Semantic Segmentation for LIDAR Point Clouds
12023Li, Jianan; Dong, QiuleiOpen-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework

Discretization - Point - Dimensionality Reduction Based Methods

Publication YearAuthorTitleCode
22017Tchapmi, Lyne; Choy, Christopher; Armeni, Iro; Gwak, JunYoung; Savarese, SilvioSegcloud: Semantic segmentation of 3d point clouds
02020Zhang, Yang; Zhou, Zixiang; David, Philip; Yue, Xiangyu; Xi, Zerong; Gong, Boqing; Foroosh, HassanPolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
12020Gerdzhev, Martin; Razani, Ryan; Taghavi, Ehsan; Liu, BingbingTORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
32021Cheng, Ran; Razani, Ryan; Ren, Yuan; Bingbing, LiuS3Net: 3D LiDAR Sparse Semantic Segmentation Network
42021Xu, Jianyun; Zhang, Ruixiang; Dou, Jian; Zhu, Yushi; Sun, Jie; Pu, ShiliangRPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
62022Peng, Kunyu; Fei, Juncong; Yang, Kailun; Roitberg, Alina; Zhang, Jiaming; Bieder, Frank; Heidenreich, Philipp; Stiller, Christoph; Stiefelhagen, RainerMASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
52023Liu, Youquan; Chen, Runnan; Li, Xin; Kong, Lingdong; Yang, Yuchen; Xia, Zhaoyang; Bai, Yeqi; Zhu, Xinge; Ma, Yuexin; Li, Yikang; Qiao, Yu; Hou, YuenanUniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase

Graph - Discretization Based Methods

Publication YearAuthorTitleCode
02020Lyu, Yecheng; Huang, Xinming; Zhang, ZimingLearning to segment 3d point clouds in 2d image space
12020Mei, Jilin; Zhao, HuijingScene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene

Discretization - Point Based Methods

Publication YearAuthorTitleCode
12020Rosu, Radu Alexandru; Schütt, Peer; Quenzel, Jan; Behnke, SvenLatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
22020Tang, Haotian; Liu, Zhijian; Zhao, Shengyu; Lin, Yujun; Lin, Ji; Wang, Hanrui; Han, SongSearching Efficient 3D Architectures with Sparse Point-Voxel Convolution
142020Rist, Christoph B.; Schmidt, David; Enzweiler, Markus; Gavrila, Dariu M.SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds
122020Zhang, Feihu; Fang, Jin; Wah, Benjamin; Torr, PhilipDeep fusionnet for point cloud semantic segmentation
32021Cheng, Ran; Razani, Ryan; Taghavi, Ehsan; Li, Enxu; Liu, Bingbing(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
92021Wei Zhou, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying HeMulti Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
02022Tian, Hao; Hou, Yuenan; Wang, Huijie; Liu, Youquan; Li, Jiawei; Zhu, Xinge; Qin, Wenkang; Gong, Junchao; Li, Yang; Li, KaiICPV: Deep Fusion of Different Point Cloud Representations, 1st Place Solution for 3D Semantic Segmentation Track in Waymo Open Dataset Challenge 2022
152022Chen, Runnan; Zhu, Xinge; Chen, Nenglun; Li, Wei; Ma, Yuexin; Yang, Ruigang; Wang, WenpingZero-shot Point Cloud Segmentation by Transferring Geometric Primitives
132022Hou, Yuenan; Zhu, Xinge; Ma, Yuexin; Loy, Chen Change; Li, YikangPoint-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
102022Pan, Yancheng; Xie, Fan; Zhao, HuijingUnderstanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
82022Lai, Xin; Liu, Jianhui; Jiang, Li; Wang, Liwei; Zhao, Hengshuang; Liu, Shu; Qi, Xiaojuan; Jia, JiayaStratified Transformer for 3D Point Cloud Segmentation
202023Fan, Yu-Cheng; Yan, Wei-Zhe; Liu, Yu-Sheng3D Large Scene Semantic Segmentation System
112023Ye, Shanding; Yin, Zhe; Fu, Yongjian; Lin, Hu; Pan, ZhijieA multi-granularity semisupervised active learning for point cloud semantic segmentation
72023Camuffo, Elena; Milani, SimoneContinual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data
62023Zhao, Yangheng; Wang, Jun; Li, Xiaolong; Hu, Yue; Zhang, Ce; Wang, Yanfeng; Chen, SihengNumber-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
52023Zhang, Ziheng; Wang, Lu; Zhang, Qieshi; Cheng, JunHeuristic Semantic Segmentation Using the Weights of Local Voxel Structure
42023Ibrahim, Muhammad; Akhtar, Naveed; Anwar, Saeed; Mian, AjmalSAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation
162023Guo, Xindong; Sun, Yu; Yang, HuaFF-Net: Feature-Fusion-Based Network for Semantic Segmentation of 3D Plant Point Cloud
172023Zhao, Lin; Zhou, Hui; Zhu, Xinge; Song, Xiao; Li, Hongsheng; Tao, WenbingLif-seg: Lidar and camera image fusion for 3d lidar semantic segmentation
182023Lu, Yuhang; Jiang, Qi; Chen, Runnan; Hou, Yuenan; Zhu, Xinge; Ma, YuexinSee More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
192023Kuriyal, Abhishek; Kumar, Vaibhav; Lohani, BharatpCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation
212023Zhou, Junjie; Xiong, Yongping; Chiu, Chinwai; Liu, Fangyu; Gong, XiangyangFat: Field-Aware Transformer for 3D Point Cloud Semantic Segmentation

Point - Graph Based Methods

Publication YearAuthorTitleCode
02018Landrieu, Loic; Simonovsky, MartinLarge-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
12019Liu, Zhijian; Tang, Haotian; Lin, Yujun; Han, SongPoint-Voxel CNN for Efficient 3D Deep Learning
22019Yang, Jiancheng; Zhang, Qiang; Ni, Bingbing; Li, Linguo; Liu, Jinxian; Zhou, Mengdie; Tian, QiModeling point clouds with self-attention and gumbel subset sampling
152019Jiang, Li; Zhao, Hengshuang; Liu, Shu; Shen, Xiaoyong; Fu, Chi-Wing; Jia, JiayaHierarchical point-edge interaction network for point cloud semantic segmentation
52019Wu, Jian; Jiao, Jianbo; Yang, Qingxiong; Zha, Zheng-Jun; Chen, XuejinGround-Aware Point Cloud Semantic Segmentation for Autonomous Driving
62019Feng, Mingtao; Zhang, Liang; Lin, Xuefei; Gilani, Syed Zulqarnain; Mian, AjmalPoint Attention Network for Semantic Segmentation of 3D Point Clouds
142019Contreras, Jhonatan; Denzler, JoachimEdge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds
112019Zhao, Hengshuang; Jiang, Li; Fu, Chi-Wing; Jia, JiayaPointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
42020Liu, Jinxian; Yu, Minghui; Ni, Bingbing; Chen, YeSelf-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
72020Ma, Yanni; Guo, Yulan; Liu, Hao; Lei, Yinjie; Wen, GongjianGlobal Context Reasoning for Semantic Segmentation of 3D Point Clouds
82021Zhang, Yachao; Qu, Yanyun; Xie, Yuan; Li, Zonghao; Zheng, Shanshan; Li, CuihuaPerturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
92023Robert, Damien; Raguet, Hugo; Landrieu, LoicEfficient 3D Semantic Segmentation with Superpoint Transformer
122023Wang, Ruibin; Ying, Xianghua; Xing, Bowei; Tong, Xin; Chen, Taiyan; Yang, Jinfa; Shi, YongjieImproving point cloud classification and segmentation via parametric veronese mapping
132023Zhu, Liping; Peng, Cong; Wang, Bingyao; Li, Chengyang; Zhu, KaijieCBFLNet: Cross-boundary feature learning for large-scale point cloud segmentation
162023Díaz-Medina, Miguel; Fuertes, José M.; Segura-Sánchez, Rafael J.; Lucena, Manuel; Ogayar-Anguita, Carlos J.LiDAR attribute based point cloud labeling using CNNs with 3D convolution layers
32023Wang, Xuzhe; Yang, Juntao; Kang, Zhizhong; Du, Junjian; Tao, Zhaotong; Qiao, DanA Category-Contrastive Guided-Graph Convolutional Network Approach for the Semantic Segmentation of Point Clouds
102023Zhang, S.; Huang, W.; Chen, Y.; Zhang, S.; Zhang, W.; Li, J.SPDC: A SUPER-POINT AND POINT COMBINING BASED DUAL-SCALE CONTRASTIVE LEARNING NETWORK FOR POINT CLOUD SEMANTIC SEGMENTATION
172023Wan, Jie; Zeng, Ziyin; Qiu, Qinjun; Xie, Zhong; Xu, YongyangPointNest: Learning Deep Multi-Scale Nested Feature Propagation for Semantic Segmentation of 3D Point clouds

Discetization - Dimensionality Reduction Based Methods

Publication YearAuthorTitleCode
02022Yan, Xu; Gao, Jiantao; Zheng, Chaoda; Zheng, Chao; Zhang, Ruimao; Cui, Shenghui; Li, Zhen2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
12022Jaritz, Maximilian; Vu, Tuan-Hung; de Charette, Raoul; Wirbel, Émilie; Pérez, PatrickCross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
22023Zhou, Zixiang; Ye, Dongqiangzi; Chen, Weijia; Xie, Yufei; Wang, Yu; Wang, Panqu; Foroosh, HassanLiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
32023Saltori, Cristiano; Ošep, Aljoša; Ricci, Elisa; Leal-Taixé, LauraWalking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
42023Jiang, Feng; Gao, Heng; Qiu, Shoumeng; Zhang, Haiqiang; Wan, Ru; Pu, JianKnowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation

Dimensionality Reduction - Point Based Methods

Publication YearAuthorTitleCode
102019Chiang, Hung-Yueh; Lin, Yen-Liang; Liu, Yueh-Cheng; Hsu, Winston H.A Unified Point-Based Framework for 3D Segmentation
22020Kochanov, Deyvid; Nejadasl, Fatemeh Karimi; Booij, OlafKPRNet: Improving projection-based LiDAR semantic segmentation
32021Alonso, Iñigo; Riazuelo, Luis; Montesano, Luis; Murillo, Ana C.3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
62021Zhao, Linqing; Lu, Jiwen; Zhou, JieSimilarity-Aware Fusion Network for 3D Semantic Segmentation
72021Yaping Lin, George Vosselman, Yanpeng Cao, Michael Ying YangLocal and global encoder network for semantic segmentation of Airborne laser scanning point clouds
82021Li, Shijie; Liu, Yun; Gall, JuergenRethinking 3D LiDAR Point Cloud Segmentation
02022Robert, Damien; Vallet, Bruno; Landrieu, LoicLearning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
12022Wang, Song; Zhu, Jianke; Zhang, RuixiangMeta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
92022Ballouch, Zouhair; Hajji, Rafika; Poux, Florent; Kharroubi, Abderrazzaq; Billen, RolandA Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning
42023Chen, Runnan; Liu, Youquan; Kong, Lingdong; Zhu, Xinge; Ma, Yuexin; Li, Yikang; Hou, Yuenan; Qiao, Yu; Wang, WenpingCLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
52023Guo, Ziyu; Li, Xianzhi; Heng, Pheng AnnJoint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
112023Xing, Bowei; Ying, Xianghua; Wang, Ruibin; Yang, Jinfa; Chen, TaiyanCross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation

Traditional Methods

The Traditional methods rely on handcrafted features. The following table presents the collected papers of the Traditional methods:

Publication YearAuthorTitleCode
61997Chua, Chin SengPoint Signatures: A New Representation for 3D Object Recognition
22005Anguelov, D.; Taskar, B.; Chatalbashev, V.; Koller, D.; Gupta, D.; Heitz, G.; Ng, A.Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
242008Brostow, Gabriel J.; Shotton, Jamie; Fauqueur, Julien; Cipolla, RobertoSegmentation and Recognition Using Structure from Motion Point Clouds
192011Guo, Li; Chehata, Nesrine; Mallet, Clément; Boukir, SamiaRelevance of airborne lidar and multispectral image data for urban scene classification using Random Forests
172012Zhou, Yu; Yu, Yao; Lu, Guiliang; Du, SidanSuper-segments based classification of 3D urban street scenes
152013Zhang, Jixian; Lin, Xiangguo; Ning, XiaogangSVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban Areas
202014Niemeyer, Joachim; Rottensteiner, Franz; Soergel, UweContextual classification of lidar data and building object detection in urban areas
32014Riemenschneider, Hayko; Bódis-Szomorú, András; Weissenberg, Julien; Van Gool, LucLearning Where to Classify in Multi-view Semantic Segmentation
132014Weinmann, M.; Jutzi, B.; Mallet, C.Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features
182014Xu, S.; Vosselman, G.; Oude Elberink, S.Multiple-entity based classification of airborne laser scanning data in urban areas
282014Niemeyer, Joachim; Rottensteiner, Franz; Soergel, UweContextual classification of lidar data and building object detection in urban areas
162015Lehtomäki, Matti; Jaakkola, Anttoni; Hyyppä, Juha; Lampinen, Jouko; Kaartinen, Harri; Kukko, Antero; Puttonen, Eetu; Hyyppa, HannuObject Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
262015Guo, Bo; Huang, Xianfeng; Zhang, Fan; Sohn, GunhoClassification of airborne laser scanning data using JointBoost
12015Weinmann, Martin; Jutzi, Boris; Hinz, Stefan; Mallet, ClémentSemantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
142015Weinmann, M.; Schmidt, A.; Mallet, C.; Hinz, S.; Rottensteiner, F.; Jutzi, B.CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS
52015Martinovic, Andelo; Knopp, Jan; Riemenschneider, Hayko; Van Gool, Luc3D all the way: Semantic segmentation of urban scenes from start to end in 3D
42016Gadde, Raghudeep; Jampani, Varun; Marlet, Renaud; Gehler, Peter V.Efficient 2D and 3D Facade Segmentation using Auto-Context
72016Hackel, Timo; Wegner, Jan D.; Schindler, KonradFast semantic segmentation of 3D point clouds with strongly varying density
112017Klokov, Roman; Lempitsky, VictorEscape from cells: Deep kd-networks for the recognition of 3d point cloud models
122017Poux, F.; Neuville, R.; Billen, R.POINT CLOUD CLASSIFICATION OF TESSERAE FROM TERRESTRIAL LASER DATA COMBINED WITH DENSE IMAGE MATCHING FOR ARCHAEOLOGICAL INFORMATION EXTRACTION
252017Landrieu, Loïc; Raguet, Hugo; Vallet, Bruno; Mallet, Clément; Weinmann, MartinA structured regularization framework for spatially smoothing semantic labelings of 3D point clouds
222017Dechesne, Clément; Mallet, Clément; Le Bris, Arnaud; Gouet-Brunet, ValérieSemantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
92018Thomas, Hugues; Deschaud, Jean-Emmanuel; Marcotegui, Beatriz; Goulette, François; Gall, Yann LeSemantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods
02019Adam, A.; Grammatikopoulos, L.; Karras, G.; Protopapadakis, E.; Karantzalos, K.A SEMANTIC 3D POINT CLOUD SEGMENTATION APPROACH BASED ON OPTIMAL VIEW SELECTION FOR 2D IMAGE FEATURE EXTRACTION
292019Grilli, Eleonora; Remondino, FabioClassification of 3D digital heritage
302020Matrone, Francesca; Grilli, Eleonora; Martini, Massimo; Paolanti, Marina; Pierdicca, Roberto; Remondino, FabioComparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
102022Li, Fashuai; Zhou, Zhize; Xiao, Jianhua; Chen, Ruizhi; Lehtomaki, Matti; Elberink, Sander Oude; Vosselman, George; Hyyppa, Juha; Chen, Yuwei; Kukko, AnteroInstance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data
212023Mansour, Mohamed; Martens, Jan; Blankenbach, JörgHierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes
272023Oviedo De La Fuente, Manuel; Cabo, Carlos; Roca-Pardiñas, Javier; Loudermilk, E. Louise; Ordóñez, Celestino3D Point Cloud Semantic Segmentation Through Functional Data Analysis
82023Balado, Jesús; Fernández, Antonio; González, Elena; Díaz-Vilariño, LucíaSemantic Point Cloud Segmentation Based on Hexagonal Klemperer Rosette and Machine Learning
232023Sevgen, Eray; Abdikan, SayginClassification of Large-Scale Mobile Laser Scanning Data in Urban Area with LightGBM