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<img height="23" src="https://github.com/lh9171338/Outline/blob/master/icon.jpg"/> Edge Detection Papers
A collection of edge detection papers (a.k.a. contour detection or boundary detection).
Feel free to create a PR or an issue.
Outline
1. Deep-Learning Based Approaches
1.1 General Edge Detection
1.2 Object Contour Detection
Short name | Paper | Source | Code/Project Link |
---|---|---|---|
CEDN | Object Contour Detection with a Fully Convolutional Encoder-Decoder Network | CVPR 2016 | [code-Caffe] [code-TF] |
Weakly Supervised Object Boundaries | CVPR 2016 |
1.3 Semantic Edge Detection (Category-Aware)
Short name | Paper | Source | Code/Project Link |
---|---|---|---|
DFF | Dynamic Feature Fusion for Semantic Edge Detection | IJCAI 2019 | [code] |
STEAL | Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations | CVPR 2019 | [code] [project] |
SEAL | Simultaneous Edge Alignment and Learning | ECCV 2018 | [code] |
CASENet | CASENet: Deep Category-Aware Semantic Edge Detection | CVPR 2017 | [code] |
Semantic Contours from Inverse Detectors | ICCV 2011 | [code] |
1.4 Occlusion Boundary Detection
Short name | Paper | Source | Code/Project Link |
---|---|---|---|
Occlusion Boundary Detection via Deep Exploration of Context | CVPR 2016 |
1.5 Edge Detection From Multi-Frames
Short name | Paper | Source | Code/Project Link |
---|---|---|---|
Boundary Flow | Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion | CVPR 2018 | |
LEGO | LEGO: Learning Edge with Geometry all at Once by Watching Videos | CVPR 2018 | [code] |
Unsupervised Learning of Edges | CVPR 2016 | [code] |
2. Traditional Approaches
Short name | Paper | Source | Code/Project Link |
---|---|---|---|
SemiContour | SemiContour: A Semi-supervised Learning Approach for Contour Detection | CVPR 2016 | |
OEF | Oriented Edge Forests for Boundary Detection | CVPR 2015 | [code] |
SE | Fast edge detection using structured forests | TPAMI 2015 | [code] |
Edge Boxes | Edge Boxes: Locating Object Proposals from Edges | ECCV 2014 | [code] |
PMI | Crisp Boundary Detection Using Pointwise Mutual Information | ECCV 2014 | [code] |
Sketch Tokens | Sketch tokens: A learned mid-level representation for contour and object detection | CVPR 2013 | [code] |
SCG | Discriminatively Trained Sparse Code Gradients for Contour Detection | NIPS 2012 | |
gPb-owt-ucm | Contour Detection and Hierarchical Image Segmentation | TPAMI 2011 | [code] [project] |
XDoG | XDoG: advanced image stylization with eXtended Difference-of-Gaussians | NPAR 2011 | [code] |
FDoG | Coherent Line Drawing | NPAR 2007 | [code] [project] |
Canny | A Computational Approach to Edge Detection | TPAMI 1986 | [code] [code-py] |
3. Datasets
- BIPED dataset (Barcelona Images for Perceptual Edge Detection)
- MBDD (Multi-cue boundary detection dataset)
- NYUD dataset (NYU Depth Dataset V2)
- BSDS 500 (Berkeley Segmentation Dataset and Benchmark)
4. Useful Links
- Code to plot edge PR curves: yun-liu/plot-edge-pr-curves