Richer Convolutional Features for Contour Detection on PASCAL VOC 2012 Dataset.
My ContourNet(CNet) can be used to detection the object contour on PASCAL VOC 2012 Dataset. CNet refer RCF, DFN and CEDN.
In CEDN, they proposed the method of preprocessing data. Actually, they have provided the preprocessed-data.
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.
pytorch-1.0.0, numpy, PIL
Thanks to XuanYi Li, Wei Shen.
zhangchbin AT gmail.com