LEAP is an adaptive layer-skipping curriculum for ViT feature distillation that reports accuracy gains on ImageNet and retrieval tasks plus training compute savings.
Delving deep into semantic relation distillation
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LEAP: Layer-skipping Efficiency via Adaptive Progression for Vision Transformer Distillation
LEAP is an adaptive layer-skipping curriculum for ViT feature distillation that reports accuracy gains on ImageNet and retrieval tasks plus training compute savings.