Author

Jaehoon Cho

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Preprint Aug 2026

Grid-Preserving Knowledge Distillation: Transferring Convolutional Inductive Bias to Vision Transformers under Data Scarcity

Across seven Transformer backbones and six data-scarce benchmarks, iBKD consistently outperforms both locality-guidance methods and general knowledge distillation baselines, with its advantage increasing as the amount of training data decreases.

Junyong Choi, Cheolhyeon Park, Jaehoon Cho · 0 citations