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There already exists a triplet loss implementation in torch. The main contribution would be to implement a triplet sampler that works on multiple GPUs and then a thin wrapper to pass the triplets to the triplet loss.
CycleCL is a new contrastive learning method for cyclic videos: https://arxiv.org/abs/2311.03402
It could be an interesting addition to the package. We would have to add the following:
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