Comments (1)
So sorry for the late reply. This step generates the augmented batch which is composed of the anchors and the augmented negatives. This has something to do with the batch construction. You can refer to data_provider.py for more details.
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Related Issues (16)
- code problem HOT 2
- Inferences HOT 2
- running on gpu
- [Maths] Symbol in the paper? HOT 7
- code problem HOT 1
- Code gives better results than that mentioned in the paper HOT 8
- How to run the code for the triplet loss? HOT 2
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- code is a bit problematic HOT 3
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- Configuration on SOP dataset HOT 2
- the question about evaluate.py HOT 1
- Embedding Normalization for Triplet Loss
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