SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud
Author:
Affiliation:
1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China
2. Meta,Menlo Park,USA
3. Xi'an Jiaotong University,Xi'an,China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Macao Science and Technology Development Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880058.pdf?arnumber=9880058
Reference36 articles.
1. SESS: Self-Ensembling Semi-Supervised 3D Object Detection
2. PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
3. Solving Missing-Annotation Object Detection with Background Recalibration Loss
4. STD: Sparse-to-Dense 3D Object Detector for Point Cloud
5. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
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