Balanced Sample Assignment and Objective for Single-Model Multi-Class 3D Object Detection
Author:
Affiliation:
1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
Funder
National Natural Science Foundation of China
Ministry of Science and Technology of the People’s Republic of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10241245/10052705.pdf?arnumber=10052705
Reference43 articles.
1. A Survey on 3D Object Detection Methods for Autonomous Driving Applications
2. Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy
3. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
4. SECOND: Sparsely Embedded Convolutional Detection
5. PointPillars: Fast Encoders for Object Detection From Point Clouds
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