EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Abstract: CNN通常都是在固定資源預算下開發設計，如果有更多的可用資源再將模型結構放大以獲取更高的精度。這篇文章系統性的研究了模型的縮放並且仔細驗證了網絡深度，寬度，分辨率之間的平衡可以使網絡獲得更好地性能表現。基於此發現，提出了一個新的網絡縮放方法----利用一個簡單且高效的複合係數來完成對深度/寬度/分辨率所有維度的統一縮放。文中通過MobileNets和ResNets對這種方法的高
相關文章
- 1. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks（2019）
- 2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 3. [ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 5. EfficientNet 《EfficientNet:Rethinking model scaling for convolutional neural networks》
- 6. (DL Classification)Review: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 7. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 8. [論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
- 10. 【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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相關文章
- 1. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks（2019）
- 2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 3. [ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 5. EfficientNet 《EfficientNet:Rethinking model scaling for convolutional neural networks》
- 6. (DL Classification)Review: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 7. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 8. [論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
- 10. 【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks