Knowledge Synergy Learning for Multi-Modal Tracking-Reference-Cited by-同舟云学术

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Knowledge Synergy Learning for Multi-Modal Tracking

Published:2024-07 Issue:7 Volume:34 Page:5519-5532
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

He Yuhang¹^ORCID,Ma Zhiheng²^ORCID,Wei Xing³^ORCID,Gong Yihong¹^ORCID

Affiliation:

1. College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China

2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Guangdong, Shenzhen, China

3. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

Shenzhen Key Technical Projects

Chinese Association for Artificial Intelligence (CAAI)-MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10388341.pdf?arnumber=10388341

Reference94 articles.

1. JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

2. A survey of appearance models in visual object tracking

3. Object scene flow for autonomous vehicles

4. nuScenes: A Multimodal Dataset for Autonomous Driving

5. Using Discriminative Motion Context for Online Visual Object Tracking

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