目標檢測 | 經典算法 Cascade R-CNN: Delving into High Quality Object Detection
作者從detector的overfitting at training/quality mismatch at inference問題入手，提出了基於multi-stage的Cascade R-CNN，該網絡結構清晰，效果顯著，並且能簡單移植到其它detector中，帶來2-4%的性能提升 論文: Cascade R-CNN: Delving into High Quality Object De
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相關文章
- 1. 目標檢測「Cascade R-CNN: Delving into High Quality Object Detection」
- 2. Cascade R-CNN: Delving into High Quality Object Detection
- 3. [論文閱讀]Cascade RCNN|Cascade R-CNN: Delving into High Quality Object Detection
- 4. Face Paper：Cascade R-CNN: Delving into High Quality Object Detection
- 5. 目標檢測論文閱讀：Cascade R-CNN: Delving into High Quality Object Detection
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- 10. Cascade R-CNN: Delving into High Quality Object Detection 論文筆記