【論文筆記】：Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
&Title Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training 代碼 &Summary Dynamic R-CNN是R-CNN系列算法，即兩階段目標檢測算法；動態性其實體現在在訓練目標檢測模型過程中使用動態訓練的策略。前面介紹過的Cascade RCNN也可以看作是一種動態訓練方法，它在訓練過程中不斷
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相關文章
- 1. Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training論文閱讀翻譯 - 2020ECCV
- 2. 目標檢測動態訓練算法 Dynamic R-CNN | Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
- 3. Towards High Performance Video Object Detection論文筆記
- 4. D2Det: Towards High Quality Object Detection and Instance Segmentation
- 5. [論文閱讀]Cascade RCNN|Cascade R-CNN: Delving into High Quality Object Detection
- 6. Cascade RCNN：Delving into High Quality Object Detection 論文閱讀筆記
- 7. 論文：Cascade R-CNN: Delving into High Quality Object Detection 閱讀筆記
- 8. 【論文閱讀筆記】Cascade R-CNN: Delving into High Quality Object Detection
- 9. 2018-04-Towards High Performance Video Object Detection for Mobiles-論文閱讀筆記
- 10. 論文：Cascade R-CNN: Delving into High Quality Object Detection閱讀筆記