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GitHub - facebookresearch swav: PyTorch implementation of SwAV https . . . SwAV is an efficient and simple method for pre-training convnets without using annotations Similarly to contrastive approaches, SwAV learns representations by comparing transformations of an image, but unlike contrastive methods, it does not require to compute feature pairwise comparisons
[2006. 09882] Unsupervised Learning of Visual Features by Contrasting . . . These contrastive methods typically work online and rely on a large number of explicit pairwise feature comparisons, which is computationally challenging In this paper, we propose an online algorithm, SwAV, that takes advantage of contrastive methods without requiring to compute pairwise comparisons
SwAV — MMSelfSup 1. 0. 0rc6 文档 These contrastive methods typically work online and rely on a large number of explicit pairwise feature comparisons, which is computationally challenging In this paper, we propose an online algorithm, SwAV, that takes advantage of contrastive methods without requiring to compute pairwise comparisons
SwAV | self_supervised - GitHub Pages SwAV Absract: Unsupervised image representations have significantly reduced the gap with supervised pretraining, notably with the recent achievements of contrastive learning methods