LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark

Author:

Liu Qiao1,Li Xin1,He Zhenyu2,Li Chenglong3,Li Jun1,Zhou Zikun1,Yuan Di1,Li Jing1,Yang Kai1,Fan Nana1,Zheng Feng4

Affiliation:

1. Harbin Institute of Technology, Shenzhen, Shenzhen, China

2. Harbin Institute of Technology, Shenzhen & Peng Cheng Laboratory, Shenzhen, China

3. Anhui University, Hefei, China

4. Southern University of Science and Technology, Shenzhen, China

Funder

Shenzhen Research Council

National Natural Science Foundation of China

Publisher

ACM

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1. UniRTL: A universal RGBT and low-light benchmark for object tracking;Pattern Recognition;2025-02

2. A cross-fusion of non-local attention network for infrared small target tracking;Infrared Physics & Technology;2024-09

3. Asymmetric Deformable Spatio-temporal Framework for Infrared Object Tracking;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-07-19

4. SwapTrack: Enhancing RGB-T Tracking via Learning from Paired and Single-Modal Data;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26

5. Learning diverse fine-grained features for thermal infrared tracking;Expert Systems with Applications;2024-03

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