Preparing Lessons: Improve Knowledge Distillation with Better Supervision論文筆記
論文地址：http://arxiv.org/abs/1911.07471 github地址：無 本文提出兩種監督方式來提高知識蒸餾的效果，旨在解決teacher網絡出現錯分類結果和模糊分類結果時的蒸餾問題，保證student網絡始終學習到有效的知識。 Methods Bad phenomenon 1：Genetic errors 含義：學生網絡和教師網絡都得到相同錯誤的預測結果，當教師網絡預測錯時
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相關文章
- 1. Awesome Knowledge-Distillation
- 2. Knowledge Distillation 筆記
- 3. 論文Relational Knowledge Distillation
- 4. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
- 5. 《Structured Knowledge Distillation for Dense Prediction》論文筆記
- 6. 論文筆記之Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
- 7. Learning efficient object detection models with knowledge distillation論文筆記
- 8. Knowledge Distillation for Segmentation 筆記
- 9. 論文筆記：Distilling the Knowledge
- 10. knowledge distillation 論文閱讀之：ResKD: Residual-Guided Knowledge Distillation