X-View: Non-Egocentric Multi-View 3D Object Detector
Author:
Affiliation:
1. State Key Laboratory of Computer-Aided Design (CAD) and Computer Graphics (CG), Zhejiang University, Hangzhou, China
Funder
The National Nature Science Foundation of China
Innovation Capability Support Program of Shaanxi
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10049775.pdf?arnumber=10049775
Reference32 articles.
1. End-to-end multi-view fusion for 3D object detection in LiDAR point clouds;zhou;Proc Conf Robot Learn,2020
2. Multi-view 3D Object Detection Network for Autonomous Driving
3. Submanifold sparse convolutional networks;graham;arXiv 1706 01307,2017
4. Pillar-Based Object Detection for Autonomous Driving
5. RangeRCNN: Towards fast and accurate 3D object detection with range image representation;liang;arXiv 2009 00206,2020
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