Closed hchoi71 closed 3 years ago
Hi @hchoi71,
I downloaded pre-trained model of SEAM at the official SEAM repository (https://github.com/YudeWang/SEAM), and applied adversarial climbing similar to obtain_CAM_masking.py.
More specifically, adversarial climbing was done on logit, GAP(cam), before up-sampled and before PCM module.
We then accumulate our localization maps (in Equation 4) using CAM after PCM module.
Thanks.
Thanks for sharing this great work!
Just wondering if you could also share the code that reproduces table 4, especially AdvCAM with SEAM.
I found the SEAM GitHub and I assume that your AdvCAM should be replaced with cam in SEAM code as shown in the below link [https://github.com/YudeWang/SEAM/blob/c55601649c5fa676836d3ec70ec044541b7d1d83/network/resnet38_SEAM.py#L32]
Could you please guide me on how to merge your AdvCAM into the SEAM module?
Thanks