【DEXTR】Deep Extreme Cut：From Extreme Points to Object Segmentation
CVPR 2018 文章目錄 概述 細節 Results Conclusion keypoint & problem 概述 要解決的問題 弱監督分割 通過一個object的left-most, right-most, top, bottom pixels作爲輸入(最初由Papadopoulos等人的Extreme clicking for efficient object annotation提出
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相關文章
- 1. 【ExtremeNet】: Bottom-up Object Detection by Grouping Extreme and Center Points
- 2. ExtremeNet:Bottom-up Object Detection by Grouping Extreme and Center Points
- 3. 論文筆記：Bottom-up Object Detection by Grouping Extreme and Center Points (CVPR 2019)
- 4. Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記
- 5. Android + OpenCV - Finding extreme points in contours
- 6. 《Bottom-up Object Detection by Grouping Extreme and Center Points》論文解讀
- 7. 目標檢測論文閱讀筆記：《Bottom-up Object Detection by Grouping Extreme and Center Points》
- 8. 論文閱讀：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. 【論文筆記】：Bottom-up Object Detection by Grouping Extreme and Center Points