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Awesome-Edge-Detection-Papers

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A collection of edge detection papers and corresponding source code/demo program (a.k.a. contour detection or boundary detection).

Feel free to create a PR or an issue. (Pull Request is preferred)

examples

Outline

0. Edge detection related dataset

Short nameSource PaperSourceIntroduction
BSDS500Contour Detection and Hierarchical Image SegmentationTPAMI 2011Classical edge detaction dataset.
NYUDv2Perceptual Organization and Recognition of Indoor Scenes from RGB-D ImagesCVPR 2013Edges come from the boundary of annotated segmentation mask.
Multi-cueA systematic comparison between visual cues for boundary detectionVision research 2016With boundary annotations.
WireframeHolistically-Attracted Wireframe ParsingCVPR 2020Edges come from the annotated wireframe.

1. Deep-learning based approaches

1.1 General edge detection

Short namePaperSourceCode/Project Link
SAUGESAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge DetectionAAAI 2025[code]
RankEDRankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based LossesCVPR 2024[webpage]
MuGEMuGE: Multiple Granularity Edge DetectionCVPR 2024
DiffusionEdgeDiffusionEdge: Diffusion Probabilistic Model for Crisp Edge DetectionAAAI 2024[Code]
UAEDThe Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge DetectorCVPR 2023[Code]
EDTEREDTER: Edge Detection with TransformerCVPR 2022[Code]
pidinetPixel Difference Networks for Efficient Edge DetectionICCV 2021[Code]
DSCDDeep Structural Contour DetectionACM MM 2020
DexiNedDense Extreme Inception Network: Towards a Robust CNN Model for Edge DetectionWACV 2020[Code]
BDCNBi-Directional Cascade Network for Perceptual Edge DetectionCVPR 2019[code]
RCNObject Contour and Edge Detection with RefineContourNetCAIP 2019[code]
LPCBLearning to Predict Crisp BoundariesECCV 2018
AMH-NetLearning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour PredictionNIPS 2017[code]
RCFRicher Convolutional Features for Edge DetectionCVPR 2017[code-caffe] [code-pytorch] [project]
CEDDeep Crisp BoundariesCVPR 2017[code]
COBConvolutional Oriented BoundariesECCV 2016[code] [project]
RDSLearning Relaxed Deep Supervision for Better Edge DetectionCVPR 2016
HFLHigh-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level VisionICCV 2015
HEDHolistically-Nested Edge DetectionICCV 2015[code]
DeepEdgeDeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour DetectionCVPR 2015
DeepContourDeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour DetectionCVPR 2015[code]

1.2 Object contour detection

Short namePaperSourceCode/Project Link
CEDNObject Contour Detection with a Fully Convolutional Encoder-Decoder NetworkCVPR 2016[code-caffe] [code-TF]
Weakly Supervised Object BoundariesCVPR 2016

1.3 Semantic edge detection (Category-Aware)

Short namePaperSourceCode/Project Link
RINDNetRINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and DepthICCV 2021[code]
RPCNetJoint Semantic Segmentation and Boundary Detection using Iterative Pyramid ContextsCVPR 2020[code]
DFFDynamic Feature Fusion for Semantic Edge DetectionIJCAI 2019[code]
STEALDevil is in the Edges: Learning Semantic Boundaries from Noisy AnnotationsCVPR 2019[code] [project]
SEALSimultaneous Edge Alignment and LearningECCV 2018[code]
CASENetCASENet: Deep Category-Aware Semantic Edge DetectionCVPR 2017[code]
datasetSemantic Contours from Inverse DetectorsICCV 2011[code]

1.4 Occlusion boundary detection

Short namePaperSourceCode/Project Link
DOOBNetDOOBNet: Deep Object Occlusion Boundary Detection from an ImageACCV 2018[code]
DOC & datasetDOC: Deep OCclusion Estimation From a Single ImageECCV 2016[code]
Occlusion Boundary Detection via Deep Exploration of ContextCVPR 2016

1.5 Edge detection from multi-frames

Short namePaperSourceCode/Project Link
Boundary FlowBoundary Flow: A Siamese Network that Predicts Boundary Motion without Training on MotionCVPR 2018
LEGOLEGO: Learning Edge with Geometry all at Once by Watching VideosCVPR 2018[code]
Unsupervised Learning of EdgesCVPR 2016[code]

2. Traditional approaches

Short namePaperSourceCode/Project Link
SemiContourSemiContour: A Semi-supervised Learning Approach for Contour DetectionCVPR 2016
OEFOriented Edge Forests for Boundary DetectionCVPR 2015[code]
SEFast edge detection using structured forestsTPAMI 2015[code]
Edge BoxesEdge Boxes: Locating Object Proposals from EdgesECCV 2014[code]
PMICrisp Boundary Detection Using Pointwise Mutual InformationECCV 2014[code]
Sketch TokensSketch tokens: A learned mid-level representation for contour and object detectionCVPR 2013
SCGDiscriminatively Trained Sparse Code Gradients for Contour DetectionNIPS 2012
gPb-owt-ucmContour Detection and Hierarchical Image SegmentationTPAMI 2011[code] [project]
XDoGXDoG: advanced image stylization with eXtended Difference-of-GaussiansNPAR 2011[code(python)] <br/> [online demo] <br/>Others: code(C++) code(matlab) code(Web APP)
FDoGCoherent Line DrawingNPAR 2007[code] [project]
CannyA Computational Approach to Edge DetectionTPAMI 1986[code] [code-py]

3. Useful Links