【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
Deep Hough Voting for 3D Object Detection in Point Clouds 一、論文貢獻 二、模型實現 2.1 霍夫投票 2.2 VoteNet 2.2.1 總體架構 2.2.2 Point cloud feature learning 2.2.3 Hough voting with deep networks 2.2.4 Object Proposal a
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- 1. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 2. 三維目標檢測論文：Deep Hough Voting for 3D Object Detection in Point Clouds
- 3. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 4. PIXOR Real-time 3D Object Detection from Point Clouds
- 5. 《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- 6. 3D Point Clouds-1
- 7. Deep Learning for 3D Point Clouds: A Survey
- 8. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN論文綜述（2016）
- 9. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
- 10. Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds
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相關文章
- 1. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 2. 三維目標檢測論文：Deep Hough Voting for 3D Object Detection in Point Clouds
- 3. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 4. PIXOR Real-time 3D Object Detection from Point Clouds
- 5. 《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- 6. 3D Point Clouds-1
- 7. Deep Learning for 3D Point Clouds: A Survey
- 8. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN論文綜述（2016）
- 9. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
- 10. Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds