awesome-knowledge-distillation and awesome-knowledge-distillation-for-object-detection
The first is a general-purpose knowledge distillation resource covering the entire field, while the second is a specialized curated list focused exclusively on object detection applications, making them complements that serve different scopes of the same research area.
About awesome-knowledge-distillation
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
A curated collection of knowledge distillation research spanning foundational ensemble methods through modern techniques like attention transfer, dark knowledge, and data-free distillation. The resource catalogs papers across diverse applications—from model compression and adversarial robustness to sequence-level learning and object detection—covering architectural approaches including FitNets, privileged information transfer, and mutual learning schemes. Organized by methodology and application domain, it serves as a comprehensive reference for techniques to transfer knowledge from large teacher models to efficient student networks across vision, NLP, and speech domains.
About awesome-knowledge-distillation-for-object-detection
LutingWang/awesome-knowledge-distillation-for-object-detection
A curated list of awesome knowledge distillation papers and codes for object detection.
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