A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking
Author:
Affiliation:
1. INSPUR GROUP Company Ltd, Shandong, China
2. Baidu Inc., Baidu Campus, Beijing, China
3. College of Computer, National University of Defense Technology, Changsha, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/09984177.pdf?arnumber=9984177
Reference66 articles.
1. Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
2. Rethinking the competition between detection and ReID in multi-object tracking;liang;arXiv 2010 12138,2020
3. Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
4. TransCenter: Transformers with dense representations for multiple-object tracking;xu;arXiv 2103 15145,2021
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