DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving-Reference-Cited by-同舟云学术

DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wang Xihao¹,Lei Jiaming²,Lan Hai²,Al-Jawari Arafat²,Wei Xian³

Affiliation:

1. Technical University of Munich,Germany

2. Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences,China

3. East China Normal University,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161353.pdf?arnumber=10161353

Reference42 articles.

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2. Directional message passing for molecular graphs;gasteiger;International Conference on Learning Representations,0

3. Focal Loss for Dense Object Detection

4. Tensor field networks: Rotation- and translation-equivariant neural networks for 3d point clouds;thomas;ArXiv Preprint,2018

5. Lidaraug: A general rendering-based augmentation framework for 3d object detection;fang;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

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