张松伟
@yuyifan1991 Sorry that, I don't run the demo, but it seems that `result.txt` is consist of hash code and label. You can run the `demo.py` to confirm that. As for...
@yl2488 How did you train the model? I fine-tuned on the ResNet50, the mAP is 0.7780. This is my experiment details: **Model:** ResNet50(the activation function is tanh) **Loss:** pairwise cross-entropy(without...
@bfan @caozhangjie I add the weight in pytorch version(without c). ``` def pairwise_loss(outputs1,outputs2,label1,label2): similarity = Variable(torch.mm(label1.data.float(), label2.data.float().t()) > 0).float() dot_product = torch.mm(outputs1, outputs2.t()) #exp_product = torch.exp(dot_product) mask_positive = similarity.data >...
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Really hope the author could provide the weight of the fine-tune model.
@lianliGao Have you solved the problem? I use the code downloaded from the Github , but have the same question as you.