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View Code? Open in Web Editor NEWPyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
License: MIT License
PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
License: MIT License
I use triple loss between data of two modalities to reduce the distance between different modalities of the same class and increase the distance between different modalities of different class. But when I use batch_all loss, the valid set loss has not changed; now using hard_loss, the valid set loss still has not changed. What is the reason? I found some answers that triplet is difficult to converge. What do you do to deal with triplet loss convergence?
In file hard_triplet_loss.py line 139: valid_labels = i_equal_j * (i_equal_k^ 1), why is there a '^1'?
Could you please tell me why it shows "RuntimeError: result type Long can't be cast to the desired output type Bool" when running this code?
Coud you help me how to create the images labels?
And the labels what it represent
thank you very much
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