Embracing Single Stride 3D Object Detector with Sparse Transformer

In LiDAR-based 3D object detection for autonomous driving, the ratio of the object size to input scene size is significantly smaller compared to 2D detection cases. Over-looking this difference, many 3D detectors directly follow the common practice of 2D detectors, which downsample the feature maps...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 8448 - 8458
Main Authors:	Fan, Lue, Pang, Ziqi, Zhang, Tianyuan, Wang, Yu-Xiong, Zhao, Hang, Wang, Feng, Wang, Naiyan, Zhang, Zhaoxiang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2022
Subjects:	3D from multi-view and sensors; Navigation and autonomous driving Detectors Navigation Object detection Point cloud compression Sensor phenomena and characterization Three-dimensional displays Transformers
ISSN:	1063-6919
Online Access:	Get full text
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