Comments (4)
Yes, we followed the same protocol for using or obtaining edges by Zhang et al. (https://arxiv.org/pdf/2003.07685.pdf). pre-trained RCF is trained on BSDS500 for computing edges.
from 3sd.
No offense, but this may be a little different from "no labels needed". However, the results of 'PCM' in the ablation study also demonstrate that good results can still be achieved without RCF.
Thank you for your work.
from 3sd.
Thank you for the suggestion. even though CAM map produces good results (refer PCM in ablation study), the CAM maps don't have a proper boundary so we needed to incorporate a gated edge to generate pseudo-GT.
Computing edges RCF gave us good results, but RCF can always be replaced with a sobel filter or canny edge detector.
we conducted an experiment with Sobel filter results are below. As Sobel filter is sensitive to noise we used RCF.
experiment, where pseudo GT is computed using CAM and edge obtained using sobel filter
----------------------------------------------------
Test set | F S E |
----------------------------------------------------
DUTS | 0.748 0.810 0.850 |
----------------------------------------------------
from 3sd.
Sure. This is an excellent work and looking forward to the training code.
Thanks for help!
from 3sd.
Related Issues (7)
- About the weights of RCFNet HOT 1
- When you release the training code? HOT 3
- eval HOT 1
- why use labels? HOT 1
- about dataset HOT 1
- Confused about the CAM method?
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