3-D Object Detection With Balanced Prediction Based on Contrastive Point Loss
Author:
Affiliation:
1. Beijing Institute of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10433867/10380542.pdf?arnumber=10380542
Reference34 articles.
1. Deep 3D Object Detection Networks Using LiDAR Data: A Review
2. YOLO3D: End-to-end real-time 3D oriented object bounding box detection from LiDAR point cloud;Ali
3. PointPillars: Fast Encoders for Object Detection From Point Clouds
4. Complex-YOLO: An euler-region-proposal for real-time 3D object detection on point clouds;Simony
5. FFPA-Net: Efficient feature fusion with projection awareness for 3D object detection;Jiang;arXiv:2209.07419,2022
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