【Pruning系列：二】Learning Efficient Convolutional Networks through Network Slimming｜YOLOv3實踐 ｜Pytorch 總結
幾個基於YOLO的剪枝pytorch項目 YOLOv3-model-pruning Introduction 剪枝算法步驟 YOLOv3-complete-pruning Introduction 剪枝方式 特點 yolov3-channel-and-layer-pruning Introduction 基本工作流程 Residual code SlimYOLOv3: Narrower, Fast
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相關文章
- 1. 【Pruning系列：一】Learning Efficient Convolutional Networks through Network Slimming
- 2. 模型壓縮：Networks Slimming-Learning Efficient Convolutional Networks through Network Slimming
- 3. 模型剪枝----Learning Efficient Convolutional Networks through Network Slimming
- 4. [論文理解] Learning Efficient Convolutional Networks through Network Slimming
- 5. 《Learning Efficient Convolutional Networks through Network Slimming》論文筆記
- 6. 【論文閱讀筆記】Learning Efficient Convolutional Networks through Network Slimming
- 7. 模型壓縮之Learning Efficient Convolutional Networks through Network Slimming
- 8. DL經典文章翻譯2：Learning Efficient Convolutional Networks through Network Slimming
- 9. Pruning Convolutional Neural Networks For Resource Efficient Inference
- 10. Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning