Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
Deep Hough Voting for 3D Object Detection in Point Clouds Facebook AI Research ,Stanford University, 22 Aug 2019, Kaiming He1 ,3D點雲檢測網絡 個人觀點： Voting by Grouping Dependent Parts，ECCV 10 Combined object
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- 1. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 2. 三維目標檢測論文：Deep Hough Voting for 3D Object Detection in Point Clouds
- 3. 《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- 4. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 5. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN論文綜述（2016）
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- 7. 【論文閱讀】【3D目標檢測】StarNet: Targeted Computation for Object Detection in Point Clouds
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相關文章
- 1. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 2. 三維目標檢測論文：Deep Hough Voting for 3D Object Detection in Point Clouds
- 3. 《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- 4. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 5. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN論文綜述（2016）
- 6. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記
- 7. 【論文閱讀】【3D目標檢測】StarNet: Targeted Computation for Object Detection in Point Clouds
- 8. PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation 2020 論文筆記
- 9. 【論文閱讀】【綜述】Deep Learning for 3D Point Clouds: A Survey
- 10. 3D Point Clouds-1