Proposes Ratio 1-2 metric for teacher selection in knowledge distillation for fine-grained image recognition, validated across 1000+ experiments showing 18% better selection and up to 17% student accuracy gains.
Towards Optimal Trade-Offs in Knowl- edge Distillation for CNNs and Vision Transformers at the Edge
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How to Choose Your Teacher for Fine Grained Image Recognition
Proposes Ratio 1-2 metric for teacher selection in knowledge distillation for fine-grained image recognition, validated across 1000+ experiments showing 18% better selection and up to 17% student accuracy gains.