shuaizzz / recall-loss-pytorch Goto Github PK
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Recall Loss for Imbalanced Image Classification and Semantic Segmentation
_, predict = torch.max(input, 1)# # (N, C, *) ==> (N, 1, *)
这里得到的下标predict是没有梯度的,训练会报错,请问你是怎么解决的呢
Hello,
I checked the code for the recall loss, it seems you directly optimize the recall, instead of using it with the CE loss.
The paper proposed to use the weighted CE loss non?
Best,
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