Learnable Instance Attention Filtering for Adaptive Detector Distillation
Learnable Instance Attention Filtering for Adaptive Detector Distillation explores A novel framework for adaptive knowledge distillation in computer vision that improves student model efficiency by learning to reweight instance importance during training.. Commercial viability score: 7/10 in Computer Vision.
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