Learning cross-modal interaction for RGB-T tracking

查看全文 作　　者：Chunyan [1]XU;Zhen [1]CUI;Chaoqun [1]WANG;Chuanwei [1]ZHOU;Jian [1]YANG

机构地区：[1]Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education,School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China

出　　处：《Science China(Information Sciences)》索引2023年第66卷第1期,共2页

基　　金：supported by National Natural Science Foundation of China (Grant Nos.61972204,62072244);in part by Natural Science Foundation of Jiangsu Province (Grant Nos.BK20191283,BK20190019)。 摘　　要：Dear editor,Visual object tracking, which has attracted increasing attention in the field of general visual understanding, aims to track each temporally changing object in a video sequence, with the target specified only in the first frame.Although most tracking algorithms have facilitated significant advances in RGB video sequences, object tracking using only RGB information is unreliable under extreme lighting conditions(e.g., dark night, rain, and foggy). 关键词：EDITOR VISUAL MODAL

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Learning cross-modal interaction for RGB-T tracking

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