Label-Guided Knowledge Distillation for 3D-CNNs in Action Recognition
Label-Guided Knowledge Distillation (LGKD) is proposed to guide the distillation of student model features using ground truth labels to enhance the student's ability to learn higher-dimensional semantic information and improving model generalization.
Yan Shi, Peng Zhao, Nan Qi et al.
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