1 code implementation • 26 Aug 2023 • Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Li Zhou, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao
With this structure, the network can extract fusion features of the template and search region under the mutual interaction of modalities.
Ranked #5 on
Rgb-T Tracking
on GTOT
no code implementations • 16 Apr 2023 • Ke Song, Quan Xia, Guoqiang Liang, Zhaojie Chen, Yanning Zhang
Instead, by mixing new and old features, old knowledge can be retained without increasing the computational complexity.
no code implementations • NeurIPS 2020 • Ke Song, Wei zhang, Ran Song, Yibin Li
A deep visual tracker is typically based on either object detection or template matching while each of them is only suitable for a particular group of scenes.
no code implementations • 12 Oct 2018 • Ke Song, Chun Yuan, Peng Gao, Yunxu Sun
In order to improve the tracking speed and reduce the overall power consumption of visual tracking, this paper proposes a real-time visual tracking algorithm based on DSST(Discriminative Scale Space Tracking) approach.
no code implementations • 23 Apr 2018 • Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao, Yan Zhang
Based on the proposed circular and structural operators, a set of primal confidence score maps can be obtained by circular correlating feature maps with their corresponding structural correlation filters.
no code implementations • 20 Apr 2018 • Peng Gao, Yipeng Ma, Chao Li, Ke Song, Fei Wang, Liyi Xiao
Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.
no code implementations • 19 Apr 2018 • Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao
To the best of our knowledge, we are the first to incorporate the advantages of DCF and SOSVM for TIR object tracking.