论文阅读笔记（三十二）：Cascade R-CNN: Delving into High Quality Object Detection

时间 2021-01-12

标签 Cascade R-CNN Object Detection 繁體版

原文原文链接

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. [论文阅读]Cascade RCNN|Cascade R-CNN: Delving into High Quality Object Detection
2. 论文：Cascade R-CNN: Delving into High Quality Object Detection 阅读笔记
3. 【论文阅读笔记】Cascade R-CNN: Delving into High Quality Object Detection
4. 论文：Cascade R-CNN: Delving into High Quality Object Detection阅读笔记
5. 论文阅读：Cascade R-CNN: Delving into High Quality Object Detection
6. Cascade RCNN：Delving into High Quality Object Detection 论文阅读笔记
7. Cascade R-CNN: Delving into High Quality Object Detection 论文笔记
8. 《Cascade R-CNN: Delving into High Quality Object Detection》论文笔记
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. [论文阅读]Cascade RCNN|Cascade R-CNN: Delving into High Quality Object Detection
2. 论文：Cascade R-CNN: Delving into High Quality Object Detection 阅读笔记
3. 【论文阅读笔记】Cascade R-CNN: Delving into High Quality Object Detection
4. 论文：Cascade R-CNN: Delving into High Quality Object Detection阅读笔记
5. 论文阅读：Cascade R-CNN: Delving into High Quality Object Detection
6. Cascade RCNN：Delving into High Quality Object Detection 论文阅读笔记
7. Cascade R-CNN: Delving into High Quality Object Detection 论文笔记
8. 《Cascade R-CNN: Delving into High Quality Object Detection》论文笔记
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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