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cs.CV2023
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
Xianzhong Long, Chen Peng, Yun Li
In contrastive self-supervised learning, positive samples are typically drawn from the same image but in different augmented views, resulting in a relatively limited source of posi…
cs.CV2023★ 1 cited
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples
Hengkui Dong, Xianzhong Long, Yun Li
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. In this…