MCLD uses three contrastive losses on raw logits, rather than softmax probabilities, to distill knowledge from a teacher network to a student network.
Learning efficient object detection mod- els with knowledge distillation
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Multi-perspective Contrastive Logit Distillation
MCLD uses three contrastive losses on raw logits, rather than softmax probabilities, to distill knowledge from a teacher network to a student network.