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Abstract: Existing studies on knowledge distillation typically focus on teacher-centered methods, in which the teacher network is trained according to its own standards before transferring the learned ...

Abstract: Knowledge distillation (KD) transferring knowledge from a large teacher model to a lightweight student one has received great attention in deep model compression. In addition to the ...

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Knowledge distillation involves transferring soft labels from a teacher to a student using a shared temperature-based softmax function. However, the assumption of a shared temperature between teacher ...

This repository represents the official implementation of the paper titled "Diffusion Self-Distillation for Zero-Shot Customized Image Generation". This repository is still under construction, many ...