論文閱讀筆記（三十二）：Cascade R-CNN: Delving into High Quality Object Detection

時間 2021-01-12

標籤 Cascade R-CNN Object Detection 简体版

原文原文鏈接

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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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
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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

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