BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks-Reference-Cited by-同舟云学术

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chi Xiaowei¹,Liu Jiaming¹,Lu Ming¹,Zhang Rongyu¹,Wang Zhaoqing²,Guo Yandong³,Zhang Shanghang¹

Affiliation:

1. School of Computer Science, Peking University,National Key Laboratory for Multimedia Information Processing

2. The University of Sydney

3. AI2Robotics

Publisher

IEEE

Link

Reference36 articles.

1. Rtm3d: Real-time monocular 3d detection from object key-points for autonomous driving;li;European Conference on Computer Vision,2020

3. Bevdet: High-performance multi-camera 3d object detection in bird-eye-view;huang;ArXiv Preprint,2021

4. Monodetr: Depth-guided transformer for monocular 3d object detection;zhang;ArXiv Preprint,2022

5. Bevdepth: Acquisition of reliable depth for multi-view 3d object detection;li;ArXiv Preprint,2022

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