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Bilinear CNNs in PyTorch

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I refered to your and Hao Mood's code and trained the BCNN model fine tuning all layers, and the best test accuracy I can reach was ~73%/~61% with and without...

Is it correct to use torch.sqrt(outputs + 1e-5) since outputs may have negative values? Thanks! https://github.com/dasguptar/bcnn.pytorch/blob/master/bcnn/model.py#L32 `outputs = torch.sign(outputs) * torch.sqrt(outputs + 1e-5) # signed square root normalization`