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The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
machine-learning
computer-vision
deep-learning
pytorch
metric-learning
image-retrieval
deep-metric-learning
self-supervised-learning
contrastive-learning
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Updated
Apr 2, 2022 - Python
Various hashing methods for image retrieval and serves as the baselines
It seems that you used different criteria during training and testing as the code below shows:
IN TEST:
scores = np.dot(vecs.T, qvecs)
IN TRAIN:
dif = x1 - x2
D = torch.pow(dif+eps, 2).sum(dim=0).sqrt()
I did not get it why you do so?