https://github.com/cuge1995/cvpr-2021-3d-obeject-detection
CVPR 2021 papers and code focus on 3D Obeject Detection
https://github.com/cuge1995/cvpr-2021-3d-obeject-detection
3d-object-detection monocular object-detection point-cloud
Last synced: about 2 months ago
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CVPR 2021 papers and code focus on 3D Obeject Detection
- Host: GitHub
- URL: https://github.com/cuge1995/cvpr-2021-3d-obeject-detection
- Owner: cuge1995
- Created: 2021-06-24T10:59:27.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-07-28T00:37:16.000Z (over 3 years ago)
- Last Synced: 2025-01-12T22:33:01.021Z (3 months ago)
- Topics: 3d-object-detection, monocular, object-detection, point-cloud
- Homepage:
- Size: 14.6 KB
- Stars: 13
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# CVPR-2021-3D-Obeject-Detection
CVPR 2021 papers and code focus on 3D Obeject Detection
- Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection
- Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds
- RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection
- To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
- 3D Object Detection With Pointformer
- Center-Based 3D Object Detection and Tracking
- Delving Into Localization Errors for Monocular 3D Object Detection
- 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
- RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union
- PointAugmenting: Cross-Modal Augmentation for 3D Object Detection
- LiDAR R-CNN: An Efficient and Universal 3D Object Detector
[code](https://github.com/tusimple/LiDAR_RCNN)
- GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection [code](https://github.com/abhi1kumar/groomed_nms)
- ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection [code](https://github.com/CVMI-Lab/ST3D)
- LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection
- Categorical Depth Distribution Network for Monocular 3D Object Detection
- MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
- HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection [code](https://github.com/cvlab-yonsei/HVPR)
- PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features
- SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection
- Objects Are Different: Flexible Monocular 3D Object Detection [code](https://github.com/zhangyp15/MonoFlex)
- M3DSSD: Monocular 3D Single Stage Object Detector [code](https://github.com/mumianyuxin/M3DSSD)
- Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
- Offboard 3D Object Detection From Point Cloud Sequences