A mapping that gives all augmented views of one image the same teacher soft label outperforms per-augmentation knowledge distillation and one-hot training in final accuracy under the paper's decoupled evaluation.
Semi- supervised knowledge distillation for model compression
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Equally Critical: Samples, Targets, and Their Mappings in Datasets
A mapping that gives all augmented views of one image the same teacher soft label outperforms per-augmentation knowledge distillation and one-hot training in final accuracy under the paper's decoupled evaluation.