谷歌大腦刷新coco準確率 EfficientDet: Scalable and Efficient Object Detection
文章開頭說，現在的檢測網絡，大的準確但是速度慢，速度快的精度低。而谷歌大腦的這篇論文，使用了EfficientNet作爲backbone，再加上BiFPN，結合成了EfficientDet，這個模型現在是paper with code上coco數據集的第一名： 其實解決的問題，是上篇目標檢測中的不平衡問題中第五節規模不平衡(scale imblance)裏說的特徵不平衡(feature imblanc
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- 1. [Paper Reading Note]EfficientDet: Scalable and Efficient Object Detection
- 2. EfficientDet:Scalable and Efficient Object Detection 谷歌大腦最新目標檢測成果，COCO 51.0 mAP！！！
- 3. EfficientDet: Scalable and Efficient Object Detection
- 4. EfficientDet: Scalable and Efficient Object Detection(BiFPN)
- 5. 論文閱讀：EfficientDet: Scalable and Efficient Object Detection
- 6. 筆記：EfficientDet: Scalable and Efficient Object Detection
- 7. [CVPR 2020] EfficientDet: Scalable and Efficient Object Detection論文筆記
- 8. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
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相關文章
- 1. [Paper Reading Note]EfficientDet: Scalable and Efficient Object Detection
- 2. EfficientDet:Scalable and Efficient Object Detection 谷歌大腦最新目標檢測成果，COCO 51.0 mAP！！！
- 3. EfficientDet: Scalable and Efficient Object Detection
- 4. EfficientDet: Scalable and Efficient Object Detection(BiFPN)
- 5. 論文閱讀：EfficientDet: Scalable and Efficient Object Detection
- 6. 筆記：EfficientDet: Scalable and Efficient Object Detection
- 7. [CVPR 2020] EfficientDet: Scalable and Efficient Object Detection論文筆記
- 8. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
- 9. Localization and Object Detection
- 10. Learning Efficient Object Detection Models with Knowledge Distillation論文精度