論文閱讀筆記（三十二）：Cascade R-CNN: Delving into High Quality Object Detection
In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy dete
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相關文章
- 1. [論文閱讀]Cascade RCNN|Cascade R-CNN: Delving into High Quality Object Detection
- 2. 論文：Cascade R-CNN: Delving into High Quality Object Detection 閱讀筆記
- 3. 【論文閱讀筆記】Cascade R-CNN: Delving into High Quality Object Detection
- 4. 論文：Cascade R-CNN: Delving into High Quality Object Detection閱讀筆記
- 5. 論文閱讀：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. Cascade R-CNN: Delving into High Quality Object Detection 論文筆記
- 8. 《Cascade R-CNN: Delving into High Quality Object Detection》論文筆記
- 9. Cascade R-CNN: Delving into High Quality Object Detection
- 10. Face Paper：Cascade R-CNN: Delving into High Quality Object Detection