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zyh-uaiaaaa / Erasing-Attention-Consistency

Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
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Reproduce the performance of the paper on AffectNet and FERPlus #12

Open Delete12137 opened 1 year ago

Delete12137 commented 1 year ago

Thank you very much for your work.! I basically reproduce the performance you showed in the article on rafdb with res18 as the backbone, but for the two datasets of AffectNet and FERPlus, I can't reproduce the performance . Can you provide the parameters and random seed settings on these two datasets when the backbone is resnet18? thank you very much!

chenhao-user commented 9 months ago

Hi！Have you successfully reproduced the accuracy of resnet18 when rafdb（89.99 %） is considered a clean dataset? The accuracy of my reproduction is much lower.