Preprint
Jul 2026
Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment
Patch Knowledge Transfer is proposed, a knowledge distillation-based optimization framework that achieves synergistic optimization of visual representation capability and inference efficiency through an innovative multi-level knowledge transfer mechanism and achieves a superior balance between model efficiency and assessment accuracy.
Jiquan Yuan
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