论文笔记：CornerNet: Detecting Objects as Paired Keypoints

时间 2021-01-02

标签目标检测繁體版

原文原文链接

论文笔记：CornerNet: Detecting Objects as Paired Keypoints 这是ECCV2018的一篇检测的文章，文中提出了一个anchor free 的目标检测方法，不需要使用anchor，而是直接预测物体的左上角和右下角两个角点，就可以实现物体的检测。动机用anchor有两个缺点引入大量anchor，正负anchor box比例失衡会带来很多超参数因此

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1. 论文笔记：CornerNet: Detecting Objects as Paired Keypoints
2. CornerNet: Detecting Objects as Paired Keypoints
3. CornerNet Detecting Objects as paired keypoints
4. CornerNet: Detecting Objects as Paired Keypoints论文解读
5. CornerNet: Detecting Objects as Paired Keypoints论文理解
6. cornernet--detecting objects as paired keypoints 论文阅读
7. CornerNet - Detecting Objects as Paired Keypoints 论文解读
8. 极简笔记 CornerNet: Detecting Objects as Paired Keypoints
9. Anchor-free系列——CornerNet: Detecting Objects as Paired Keypoints
10. ECCV2018 | 论文阅读CornerNet: Detecting Objects as Paired Keypoints
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1. 论文笔记：CornerNet: Detecting Objects as Paired Keypoints
2. CornerNet: Detecting Objects as Paired Keypoints
3. CornerNet Detecting Objects as paired keypoints
4. CornerNet: Detecting Objects as Paired Keypoints论文解读
5. CornerNet: Detecting Objects as Paired Keypoints论文理解
6. cornernet--detecting objects as paired keypoints 论文阅读
7. CornerNet - Detecting Objects as Paired Keypoints 论文解读
8. 极简笔记 CornerNet: Detecting Objects as Paired Keypoints
9. Anchor-free系列——CornerNet: Detecting Objects as Paired Keypoints
10. ECCV2018 | 论文阅读CornerNet: Detecting Objects as Paired Keypoints

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