Tutorial: Knowledge Distillation
概述 Knowledge Distillation(KD)一般指利用一個大的teacher網絡作爲監督，幫助一個小的student網絡進行學習，主要用於模型壓縮。 其方法主要分爲兩大類 Output Distillation Feature Distillation Output Distillation Motivation 主要拉近teacher和student最終輸出的距離，參考論文：Dis
相關文章
- 1. Tutorial: Knowledge Distillation
- 2. Knowledge Distillation
- 3. Knowledge Distillation 筆記
- 4. Awesome Knowledge-Distillation
- 5. Similarity-Preserving Knowledge Distillation
- 6. 論文Relational Knowledge Distillation
- 7. Correlation Congruence for Knowledge Distillation
- 8. knowledge distillation 論文閱讀之：ResKD: Residual-Guided Knowledge Distillation
- 9. knowledge distillation 論文閱讀之：Triplet Loss for Knowledge Distillation
- 10. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
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相關文章
- 1. Tutorial: Knowledge Distillation
- 2. Knowledge Distillation
- 3. Knowledge Distillation 筆記
- 4. Awesome Knowledge-Distillation
- 5. Similarity-Preserving Knowledge Distillation
- 6. 論文Relational Knowledge Distillation
- 7. Correlation Congruence for Knowledge Distillation
- 8. knowledge distillation 論文閱讀之：ResKD: Residual-Guided Knowledge Distillation
- 9. knowledge distillation 論文閱讀之：Triplet Loss for Knowledge Distillation
- 10. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation