【3D 目標檢測】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
CVPR 2019 Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles 3D object detection 2D monocular images autonomous driving scenarios Proposal lift the 2D images to 3D representa
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相關文章
- 1. 3D Object Detection 3D目標檢測綜述
- 2. 【3D目標檢測】Multi-View 3D Object Detection Network for Autonomous Driving論文綜述（2016）
- 3. Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 4. Multi-View 3D Object Detection Network for Autonomous Driving
- 5. CVPR 2019 | Stereo R-CNN 3D 目標檢測
- 6. 綜述：3D目標檢測於RGB-D（Object detection in RGB-D images）
- 7. 【3D計算機視覺】Deep Hough Voting for 3D Object Detection in Point Clouds
- 8. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
- 9. A 3D LiDAR Data-Based Dedicated Road Boundary Detection Algorithm for Autonomous Vehicles
- 10. 【CVPR2020】3D目標檢測論文彙總