May 2, 2022, 1:10 a.m. | Andong Lu, Cun Qian, Chenglong Li, Jin Tang, Liang Wang

cs.CV updates on arXiv.org arxiv.org

Low-quality modalities contain not only a lot of noisy information but also
some discriminative features in RGBT tracking. However, the potentials of
low-quality modalities are not well explored in existing RGBT tracking
algorithms. In this work, we propose a novel duality-gated mutual condition
network to fully exploit the discriminative information of all modalities while
suppressing the effects of data noise. In specific, we design a mutual
condition module, which takes the discriminative information of a modality as
the condition to …

arxiv cv network tracking

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