QueryTrack: Joint-Modality Query Fusion Network for RGBT Tracking-Reference-Cited by-同舟云学术

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QueryTrack: Joint-Modality Query Fusion Network for RGBT Tracking

Published:2024 Issue: Volume:33 Page:3187-3199
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Fan Huijie¹^ORCID,Yu Zhencheng¹^ORCID,Wang Qiang²^ORCID,Fan Baojie³^ORCID,Tang Yandong¹^ORCID

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. Key Laboratory of Manufacturing Industrial Integrated, Shenyang University, Shenyang, China

3. Automation and AI College, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10516307.pdf?arnumber=10516307

Reference58 articles.

1. SiamCAN: Real-Time Visual Tracking Based on Siamese Center-Aware Network

2. MixFormer: End-to-End Tracking with Iterative Mixed Attention

3. SwinTrack: A simple and strong baseline for transformer tracking;Lin

4. Learning Recurrent Memory Activation Networks for Visual Tracking

5. Learning Spatio-Temporal Transformer for Visual Tracking

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SiamMGT: robust RGBT tracking via graph attention and reliable modality weight learning;The Journal of Supercomputing;2024-08-16

2. Exploring Multi-Modal Spatial–Temporal Contexts for High-Performance RGB-T Tracking;IEEE Transactions on Image Processing;2024

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