PIXOR Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds [CVPR18] PIXOR(ORiented 3D object detection from PIXel-wise neural network predictions) 是一個proposal-free，單階段，實時的3D目標檢測器。將點雲通過投影轉換爲BEV形式，輸出基於像素級神經
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- 1. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
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- 3. [ICCV 2019] USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
- 4. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記
- 5. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 6. Structure Aware Single-stage 3D Object Detection from Point Cloud
- 7. 【論文閱讀】SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- 8. 三維目標檢測論文閱讀：PIXOR: Real-time 3D Object Detection from Point Clouds
- 9. 《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
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相關文章
- 1. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 2. 3D Point Clouds-1
- 3. [ICCV 2019] USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
- 4. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記
- 5. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 6. Structure Aware Single-stage 3D Object Detection from Point Cloud
- 7. 【論文閱讀】SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- 8. 三維目標檢測論文閱讀：PIXOR: Real-time 3D Object Detection from Point Clouds
- 9. 《論文閱讀》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- 10. Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds