no code implementations • 3 Jan 2024 • Dengdi Sun, Yajie Pan, Andong Lu, Chenglong Li, Bin Luo
We introduce independent dynamic template tokens to interact with the search region, embedding temporal information to address appearance changes, while also retaining the involvement of the initial static template tokens in the joint feature extraction process to ensure the preservation of the original reliable target appearance information that prevent deviations from the target appearance caused by traditional temporal updates.
Ranked #4 on Rgb-T Tracking on RGBT210
1 code implementation • 19 Jul 2023 • Leilei Ma, Dengdi Sun, Lei Wang, Haifeng Zhao, Bin Luo
Specifically, we leverage semantic-aware representation learning to extract category-related local discriminative features and construct category prototypes.
Ranked #1 on Multi-Label Learning on COCO 2014
1 code implementation • 27 Apr 2021 • Chenglong Li, Wanlin Xue, Yaqing Jia, Zhichen Qu, Bin Luo, Jin Tang, Dengdi Sun
RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential for both the training of deep RGBT trackers and the comprehensive evaluation of RGBT tracking methods.