most citedCEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 4 cited

CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data

Ke Zhang, Jin Fan, Shaoli Huang +3

Data augmentation has been proved effective in training deep models. Existing data augmentation methods tackle the fine-grained problem by blending image pairs and fusing correspon…