Awesome

Awesome-Crowd-Localization

Awesome Crowd Localization

Contents

• Misc
• Datasets
• Papers
• Leaderboard

Misc

Relaetd Tasks

• Crowd Counting
• Crowd Analysis
• Video Surveillance
• Dense/Small/Tiny Object Detection

Challenge

• NWPU-Crowd Localization: Link
• The 1st Tiny Object Detection Challenge: Link

Metrics

• mAP, mAR in RAZNet (namely key point evaluation in COCO: fixed sigma)
• F1-m, Precision, Recall in NWPU-Crowd (scale-aware sigma)
• MLE in LSC-CNN (distance measure)

Datasets

• NWPU-Crowd (dot, box)
• JHU-CROWD (dot, size)
• FDST (dot, box)
• Head Tracking 21 (dot, box, id) [Download]

Papers

Arxiv

• <a name="DCST"></a> [DCST] Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer [paper]
• <a name="GNA"></a> [GNA] Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark [paper]
• <a name=" SCALNet"></a> [SCALNet] Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization [paper] [code]
• <a name="RDTM"></a> [FIDTM] Focal Inverse Distance Transform Maps for Crowd Localization and Counting in Dense Crowd [paper] [code]
• <a name="RDTM"></a> [RDTM] Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd [paper] [code]
• Counting and Locating High-Density Objects Using Convolutional Neural Network [paper]
• <a name="IIM"></a> [IIM] Learning Independent Instance Maps for Crowd Localization [paper] [code]
• <a name='AutoScale'></a> [AutoScale] Autoscale: learning to scale for crowd counting [paper] [code]
• A Strong Baseline for Crowd Counting and Unsupervised People Localization [paper]
• Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network [paper][code]

2021

• <a name="SA-InterNet"></a> [SA-InterNet] A-InterNet: Scale-Aware Interaction Network for Joint Crowd Counting and Localization (PRVC) [paper]
• A smartly simple way for joint crowd counting and localization (Neurocomputing) [aper]
• A Generalized Loss Function for Crowd Counting and Localization (CVPR) [paper]
• <a name=" P2PNet"></a> [ P2PNet] Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework (ICCV) [paper]
• <a name="D2CNet"></a> [D2CNet] Decoupled Two-Stage Crowd Counting and Beyond (TIP) [paper] [code]
• <a name="Crowd-SDNet"></a> [Crowd-SDNet] A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds (TIP) [paper] [code]
• <a name="TopoCount"></a> [TopoCount] Localization in the Crowd with Topological Constraints (AAAI2021) [paper][code]

2020

• <a name="DD-CNN"></a> [DD-CNN] Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds (WACV) [paper]
• <a name="NWPU"></a> [NWPU] NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization (T-PAMI) [paper][code]
• <a name="LSC-CNN"></a> [LSC-CNN] Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection (T-PAMI) [paper][code]
• Scale Match for Tiny Person Detection (WACV) [paper][code]

2019

• <a name="RDNet"></a> Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization (CVPR) [paper]
• Point in, Box out: Beyond Counting Persons in Crowds (CVPR) [paper]
• <a name="RAZ_Loc"></a> [RAZ_Loc] Recurrent attentive zooming for joint crowd counting and precise localization (CVPR) [paper] [Reproduction_code]
• <a name="RDNet"></a> [RDNet] Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization (CVPR) [paper][code]

2018

• <a name="CL"></a> [CL] Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds (ECCV) [paper]
• <a name="LCFCN"></a> [LCFCN] Where are the Blobs: Counting by Localization with Point Supervision (ECCV) [paper] [code]
• SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network (ECCV) [paper]

2017

• Focal Loss for Dense Object Detection (ICCV) [paper]
• <a name="TinyFaces"></a> [TinyFaces] Finding tiny faces (CVPR) [paper]
• Perceptual Generative Adversarial Networks for Small Object Detection (CVPR) [paper]

2015

• Small Instance Detection by Integer Programming on Object Density Maps, (CVPR) [paper ]
• <a name="Hydra-CNN"></a> End-to-end people detection in crowded scenes (CVPR) [paper] [code]
• <a name="Faster_RCNN"></a> [Faster-RCNN] Towards real-time object detection with region proposal networks (CVPR) [paper] [code]

Leaderboard

NWPU

More detailed results are in this link.