SiamMGT: robust RGBT tracking via graph attention and reliable modality weight learning
Author:
Funder
National Natural Science Foundation of China
Practice Innovation Fund of Yunnan University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06443-9.pdf
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2. Li C, Cheng H, Hu S, Liu X, Tang J, Lin L (2016) Learning collaborative sparse representation for grayscale-thermal tracking. IEEE Trans Image Process 25(12):5743–5756. https://doi.org/10.1109/TIP.2016.2614135. (IEEE)
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4. Li C, Xue W, Jia Y, Qu Z, Luo B, Tang J, Sun D (2021) Lasher: a large-scale high-diversity benchmark for rgbt tracking. IEEE Trans Image Process 31:392–404. https://doi.org/10.1109/TIP.2021.3130533. (IEEE)
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