DIP-KD achieves state-of-the-art results in black-box data-free knowledge distillation across 12 benchmarks by synthesizing diverse image priors, applying contrastive learning, and using a primer student for soft-probability transfer.
Contrastive model inversion for data-free knowledge distillation
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Diverse Image Priors for Black-box Data-free Knowledge Distillation
DIP-KD achieves state-of-the-art results in black-box data-free knowledge distillation across 12 benchmarks by synthesizing diverse image priors, applying contrastive learning, and using a primer student for soft-probability transfer.