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Found 2 papers, 1 papers with code
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Linear probing (LP) (and $k$-NN) on the upstream dataset with labels (e. g., ImageNet) and transfer learning (TL) to various downstream datasets are commonly employed to evaluate the quality of visual representations learned via self-supervised learning (SSL).
Self-Knowledge Distillation with Progressive Refinement of Targets
Hence, it can be interpreted within a framework of knowledge distillation as a student becomes a teacher itself.
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