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For the implementation of PSPNet, e.g. ade.pspnet.R101_v1c folder, CrossEntropyLoss is adopted as the criterion for the PSPNet(train.py L49). However, the prediction, which is then fed into the criterion, has been transformed with log_softmax(network.py L50). If I don't miss something, should the correct criterion used here be NLLLoss?
The text was updated successfully, but these errors were encountered:
For the implementation of PSPNet, e.g. ade.pspnet.R101_v1c folder, CrossEntropyLoss is adopted as the criterion for the PSPNet(train.py L49). However, the prediction, which is then fed into the criterion, has been transformed with log_softmax(network.py L50). If I don't miss something, should the correct criterion used here be NLLLoss?
The text was updated successfully, but these errors were encountered: