CO-SSL, which aligns pre-pooling local representations with the global image embedding, reaches 71.5% ImageNet-1K top-1 at 100 epochs and improves robustness over BYOL.
Self-supervised learning from images with a joint-embedding predictive architecture
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Seeing the Whole in the Parts in Self-Supervised Representation Learning
CO-SSL, which aligns pre-pooling local representations with the global image embedding, reaches 71.5% ImageNet-1K top-1 at 100 epochs and improves robustness over BYOL.