Quality-Aware RGBT Tracking via Supervised Reliability Learning and Weighted Residual Guidance-Reference-Cited by-同舟云学术

Quality-Aware RGBT Tracking via Supervised Reliability Learning and Weighted Residual Guidance

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Liu Lei¹^ORCID,Li Chenglong²^ORCID,Xiao Yun³^ORCID,Tang Jin⁴^ORCID

Affiliation:

1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University. Anhui Provincial Key Laboratory of Multimodal Cognitive Computation. School of Computer Science and Technology, Anhui University., Hefei, China

2. Information Materials and Intelligent Sensing Laboratory of Anhui Province. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center. Anhui Provincial Key Laboratory of Multimodal Cognitive Computation. School of Artificial Intelligence, Anhui University., Hefei, China

3. Information Materials and Intelligent Sensing Laboratory of Anhui Province. Anhui Provincial Key Laboratory of Multimodal Cognitive Computation. School of Artificial Intelligence, Anhui University., Hefei, China

4. Information Materials and Intelligent Sensing Laboratory of Anhui Province. Anhui Provincial Key Laboratory of Multimodal Cognitive Computation. School of Computer Science and Technology, Anhui University., Hefei, China

Funder

Major Project for New Generation of AI

Anhui Provincial Colleges Science Foundation for Distinguished Young Scholars

National Natural Science Foundation of China

Natural Science Foundation of Anhui Higher Education Institution

Natural Science Foundation of Anhui Province

University Synergy Innovation Program of Anhui Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612341

Reference41 articles.

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2. Learning Discriminative Model Prediction for Tracking

3. Zhiyuan Cheng , Andong Lu , Zhang Zhang , Chenglong Li , and Liang Wang . 2022 . Fusion Tree Network for RGBT Tracking. In IEEE International Conference on Advanced Video and Signal Based Surveillance. IEEE, 1--8. Zhiyuan Cheng, Andong Lu, Zhang Zhang, Chenglong Li, and Liang Wang. 2022. Fusion Tree Network for RGBT Tracking. In IEEE International Conference on Advanced Video and Signal Based Surveillance. IEEE, 1--8.

4. ATOM: Accurate Tracking by Overlap Maximization

5. Berat A Erol , Abhijit Majumdar , Jonathan Lwowski , Patrick Benavidez , Paul Rad , and Mo Jamshidi . 2018. Improved deep neural network object tracking system for applications in home robotics. Computational Intelligence for Pattern Recognition ( 2018 ), 369--395. Berat A Erol, Abhijit Majumdar, Jonathan Lwowski, Patrick Benavidez, Paul Rad, and Mo Jamshidi. 2018. Improved deep neural network object tracking system for applications in home robotics. Computational Intelligence for Pattern Recognition (2018), 369--395.