Multi-Stage Fusion for Multi-Class 3D Lidar Detection-Reference-Cited by-同舟云学术

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Multi-Stage Fusion for Multi-Class 3D Lidar Detection

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Wang Zejie,Zhao Zhen,Jin Zhao,Che Zhengping,Tang Jian,Shen Chaomin,Peng Yaxin

Funder

Research and Development

Science and Technology Commission of Shanghai Municipality

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9607382/9607383/09607598.pdf?arnumber=9607598

Cited by 15 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

1. MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Singular and Multimodal Techniques of 3D Object Detection: Constraints, Advancements and Research Direction;Applied Sciences;2023-12-15

3. Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Advancements and Applications of LiDAR Technology in the Modern World: A Comprehensive Review;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

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