Hi everyone, I’m trying to train something using the pretrained densenet201 from torchvision as base. First I tested the pretrained densenet201 to see how its actual accuracy (the reported accuracy is 77 - 77.5) is:


By using densenet201 from torchvision.models, and follow the example code from the website:https://github.com/pytorch/examples/tree/42e5b996718797e45c46a25c55b031e6768f8440/imagenet 14
I got the top-1 ImageNet accuracy of 76.896


I also tried using the pretrained model from original densenet authors: https://github.com/liuzhuang13/DenseNet 2, convert the lua torch model into pytorch model, the test accuracy is still 76.896


Could someone help me clarify why there is a >0.3 accuracy drop of the pretrained model? Thanks