ContourNet
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zhangchbin
Richer Convolutional Features for Contour Detection on PASCAL VOC 2012 Dataset.
ContourNet
Richer Convolutional Features for Contour Detection on PASCAL VOC 2012 Dataset.
Introduction
My ContourNet(CNet) can be used to detection the object contour on PASCAL VOC 2012 Dataset. CNet refer RCF, DFN and CEDN.
Dataset and Preprocessed
In CEDN, they proposed the method of preprocessing data. Actually, they have provided the preprocessed-data.
My Results
| Method | Original Motivation | ODS F-score | OIS F-score | AP |
|---|---|---|---|---|
| CNet(Ours) | Contour Detection | 0.494 | 0.509 | 0.373 |
| CEDN | Contour Detection | 0.486 | 0.500 | 0.354 |
| RCF | Edge Detection | 0.459 | 0.475 | 0.333 |
| HED | Edge Detection | 0.441 | 0.454 | 0.311 |
note: The same environment means the same data augmentation, the same framework, the same time seed and so on.
Environment
pytorch-1.0.0, numpy, PIL
Thanks
Thanks to XuanYi Li, Wei Shen.
Contact
zhangchbin AT gmail.com
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zhangchbin
Metadata
Richer Convolutional Features for Contour Detection on PASCAL VOC 2012 Dataset.