CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints 文中首先指出使用anchor的缺点在于： anchor boxes数量巨大，使得正负例不平衡，一般采取的方法有设置IOU阈值上下限，并给定正负例比例(比如1:3)，或者难负例挖掘； 引入了超参数，比如anchor的scale，aspect ratio，确定这些超参数是一个较为复杂的工作。 论文大体
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相关文章
- 1. CornerNet Detecting Objects as paired keypoints
- 2. CornerNet: Detecting Objects as Paired Keypoints
- 3. CornerNet: Detecting Objects as Paired Keypoints论文解读
- 4. CornerNet: Detecting Objects as Paired Keypoints论文理解
- 5. 论文笔记：CornerNet: Detecting Objects as Paired Keypoints
- 6. Anchor-free系列——CornerNet: Detecting Objects as Paired Keypoints
- 7. cornernet--detecting objects as paired keypoints 论文阅读
- 8. CornerNet - Detecting Objects as Paired Keypoints 论文解读
- 9. 极简笔记 CornerNet: Detecting Objects as Paired Keypoints
- 10. ECCV 2018 | CornerNet：Detecting Objects as Paired Keypoints