A General Recurrent Tracking Framework without Real Data-Reference-Cited by-同舟云学术

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A General Recurrent Tracking Framework without Real Data

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Wang Shuai¹,Sheng Hao¹,Zhang Yang²,Wu Yubin¹,Xiong Zhang¹

Affiliation:

1. Beihang University,State Key Laboratory of Software Development Environment, School of Computer Science and Engineering,Beijing,P.R.China,100191

2. Beijing University of Chemical Technology,College of Information Science & Technology,Beijing,P.R.China,100029

Funder

National Natural Science Foundation of China

Science and Technology Development Fund

State Key Laboratory of Software Development Environment

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711194.pdf?arnumber=9711194

Reference37 articles.

1. Multiplex Labeling Graph for Near-Online Tracking in Crowded Scenes

2. CityPersons: A Diverse Dataset for Pedestrian Detection

3. How to Train Your Deep Multi-Object Tracker

4. Online Multi-Object Tracking with Dual Matching Attention Networks

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