Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記
Summary：德克薩斯大學提出：One-stage目標檢測最強算法 ExtremeNet Author：Amusi Date：2019-02-11 微信公衆號：CVer GitHub：https://github.com/amusi/TensorFlow-From-Zero-To-One 原文連接：德克薩斯大學提出：One-stage目標檢測最強算法 ExtremeNet 知乎：https://
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相關文章
- 1. ExtremeNet:Bottom-up Object Detection by Grouping Extreme and Center Points
- 2. 【論文筆記】：Bottom-up Object Detection by Grouping Extreme and Center Points
- 3. Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記
- 4. 論文筆記：Bottom-up Object Detection by Grouping Extreme and Center Points (CVPR 2019)
- 5. 論文閱讀：Bottom-up Object Detection by Grouping Extreme and Center Points
- 6. 《Bottom-up Object Detection by Grouping Extreme and Center Points》論文解讀
- 7. 筆記九：論文閱讀Bottom-up Object Detection by Grouping Extreme and Center Points
- 8. 目標檢測論文閱讀筆記：《Bottom-up Object Detection by Grouping Extreme and Center Points》
- 9. 論文學習筆記（十） Bottom-up Object Detection by Grouping Extreme and Center Points
- 10. 【ExtremeNet】: Bottom-up Object Detection by Grouping Extreme and Center Points