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Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution
More recently, KD for SISR utilizes Feature Distillation (FD) to minimize the Euclidean distance loss of feature maps between teacher and student networks, but it does not sufficiently consider how to effectively and meaningfully deliver knowledge from teacher to improve the student performance at given network capacity constraints.
Ranked #10 on
Image Super-Resolution
on Set5 - 3x upscaling
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