A Comprehensive Overhaul of Feature Distillation
Motivation ClovaAI今年ICCV做了還幾篇總結性的工作，該篇也類似，先總結當下做feature distillation的各個方向，總體的pipeline是選取student和teacher網絡結構的某個位置然後對特徵進行變換，最後拉進他們的距離 Teacher transform: 爲了讓teacher和student的feature map一樣大(空間或者通道)，會對teach
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相關文章
- 1. Tutorial: Knowledge Distillation
- 2. 【數據挖掘】A Comprehensive Survey of Clustering Algorithms
- 3. A Comprehensive Survey of Graph Embedding:Problems, Techniques and Applications
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- 6. Circuit Overhaul For Expert
- 7. Software-Defined Networking: A Comprehensive Survey
- 8. Rapid Object Detection using a Boosted Cascade of Simple Feature
- 9. Paper Notes: A Comprehensive Survey on Graph Neural Networks
- 10. On the Efficacy of Knowledge Distillation