grad-cam-pytorch

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### The difference between my model and resnet50 is only the last 3 layers，shown as below: (avgpool): AdaptiveAvgPool2d(output_size=(1, 1)) (fc): Linear(in_features=2048, out_features=1000, bias=True) ) **(bottleneck): Sequential( (0): AdaptiveAvgPool2d(output_size=(1, 1)) (1):...

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Problems with EfficientNet

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Hello! Have you tested this code with EfficientNet (https://github.com/lukemelas/EfficientNet-PyTorch)? I tried to do that, but I have very unrealistic visualizations with huge attention in one place, nearly identical for every...

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