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One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data
The foundation model is not the last chapter of the model production pip...
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Fixing the Teacher-Student Knowledge Discrepancy in Distillation
Training a small student network with the guidance of a larger teacher n...
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Residual Knowledge Distillation
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P2SGrad: Refined Gradients for Optimizing Deep Face Models
Cosine-based softmax losses significantly improve the performance of dee...
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Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer
Convolutional Neural Networks (CNNs) become deeper and deeper in recent ...
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