Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection
Author:
Affiliation:
1. Korea University,Department of Computer Science and Engineering,Seoul,Republic of Korea
2. Kookmin University,College of Computer Science,Seoul,Republic of Korea
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610934.pdf?arnumber=10610934
Reference27 articles.
1. Bevdet: High-performance multi-camera 3d object detection in bird-eye-view;Huang,2021
2. BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers
3. Bevdet4d: Exploit temporal cues in multi-camera 3d object detection;Huang,2022
4. BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo
5. Exploring Recurrent Long-Term Temporal Fusion for Multi-View 3D Perception
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