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Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples
Contrastive learning predicts whether two images belong to the same category by training a model to make their feature representations as close or as far away as possible.
Synthetic Hard Negative Samples for Contrastive Learning
Contrastive learning has emerged as an essential approach for self-supervised learning in visual representation learning.
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