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Found 3 papers, 1 papers with code
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
To distill optimal knowledge by adjusting non-target class predictions, we apply a higher temperature to low energy samples to create smoother distributions and a lower temperature to high energy samples to achieve sharper distributions.
Learning Color Representations for Low-Light Image Enhancement
To address this question, we propose a novel color representation learning method for low-light image enhancement.
Unsupervised Image Denoising with Frequency Domain Knowledge
Supervised learning-based methods yield robust denoising results, yet they are inherently limited by the need for large-scale clean/noisy paired datasets.
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