Robust Tracking via Uncertainty-Aware Semantic Consistency-Reference-Cited by-同舟云学术

Robust Tracking via Uncertainty-Aware Semantic Consistency

Published:2023-04 Issue:4 Volume:33 Page:1740-1751
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:

Ma Jie¹^ORCID,Lan Xiangyuan²^ORCID,Zhong Bineng¹^ORCID,Li Guorong³^ORCID,Tang Zhenjun¹^ORCID,Li Xianxian¹^ORCID,Ji Rongrong⁴^ORCID

Affiliation:

1. Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China

2. Peng Cheng Laboratory, Shenzhen, China

3. School of Computer Science and Technology, Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China

4. Department of Artificial Intelligence, Media Analytics and Computing Laboratory, School of Informatics, Xiamen University, Xiamen, China

Funder

Project of Guangxi Science and Technology

National Natural Science Foundation of China

Guangxi Bagui Scholar Teams for Innovation and Research Project

Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing

Guangxi Talent Highland Project of Big Data Intelligence and Application

Project of Peng Cheng Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10091959/09918037.pdf?arnumber=9918037

Reference49 articles.

1. Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation

2. Probabilistic Regression for Visual Tracking

3. High Performance Visual Tracking with Siamese Region Proposal Network

4. Fully-Convolutional Siamese Networks for Object Tracking

5. Bounding Multiple Gaussians Uncertainty with Application to Object Tracking

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