Closed gbliao closed 1 year ago
Can you help me to solve it? Thank you very much!
Could you double-check the line: https://github.com/mczhuge/ICON/blob/main/main/train.py#119.
There are another one also faced this issue before, but solved by solving the environment.
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Have you solved yet? @gbliao
Sorry to reply so late.
I actually load the pre-training weights provided in GitHub to test, and this process does not involve training-related settings.
It is so weird. Could you also try Swin, PVT as the encoder?
I have not tested the results with Swin as the encoder.
Do you retest the results of ResNet as the encoder properly?
Thanks for your carefulness.
After I checked, I found this is a bug originated from https://github.com/mczhuge/ICON/issues/4.
I will re-upload the checkpoints in the several weeks.
Hi, I have tested with the ResNet50 weights and dataset provided by GitHub and have not modified the code. However, I got the following results, which are inconsistent with the paper's results.
Sm:0.812 maxFm:0.743 MAE:0.062 adpFm:0.735 meanFm:0.726 || Data:[_ICON_git/DUT-OMRON]] Sm:0.854 maxFm:0.824 MAE:0.047 adpFm:0.794 meanFm:0.804 || Data:[_ICON_git/DUTS]] Sm:0.886 maxFm:0.889 MAE:0.045 adpFm:0.872 meanFm:0.865 || Data:[_ICON_git/HKU-IS]] Sm:0.845 maxFm:0.833 MAE:0.072 adpFm:0.803 meanFm:0.814 || Data:[_ICON_git/PASCAL-S]] Sm:0.903 maxFm:0.911 MAE:0.047 adpFm:0.889 meanFm:0.890 || Data:[_ICON_git/ECSSD]]