Highly compact adaptive network based on transformer for RGBT tracking-Reference-Cited by-同舟云学术

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Highly compact adaptive network based on transformer for RGBT tracking

Published:2024-06 Issue: Volume:139 Page:105310
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Chen Siqing,Gao Pan,Wang Xun,Liao Kuo,Zhang Ping^ORCID

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Fusion tracking in color and infrared images using joint sparse representation;Liu;Sci. China Inf. Sci.,2012

2. Multiple source data fusion via sparse representation for robust visual tracking;Wu,2011

3. Weighted sparse representation regularized graph learning for RGB-T object tracking;Li,2017

4. Learning soft-consistent correlation filters for RGB-T object tracking;Wang,2018

5. Learning discriminative model prediction for tracking;Bhat,2019

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