Train in Germany, Test in the USA: Making 3D Object Detectors Generalize-Reference-Cited by-同舟云学术

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Train in Germany, Test in the USA: Making 3D Object Detectors Generalize

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wang Yan,Chen Xiangyu,You Yurong,Li Li Erran,Hariharan Bharath,Campbell Mark,Weinberger Kilian Q.,Chao Wei-Lun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142308/9156271/09156543.pdf?arnumber=9156543

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception;IEEE Robotics and Automation Letters;2024-06

5. LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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