Jul 10, 2020 · We propose a multi-level similarity model under a Siamese framework for robust TIR object tracking.
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking - QiaoLiuHit/MLSSNet.
Jun 9, 2019 · To address this issue, we propose a multi-level similarity model under a Siamese framework for robust TIR object track- ing. Specifically, we ...
Learning Deep Multi-Level Similarity for Thermal. Infrared Object Tracking. Qiao Liu*, Xin Li*, Zhenyu He**, Senior Member, IEEE, Nana Fan, Di Yuan, Hongpeng ...
Learning Dual-Level Deep Representation for Thermal Infrared Tracking ... The feature models used by existing Thermal InfraRed (TIR) tracking methods are usually ...
Jul 12, 2020 · PDF | Existing deep Thermal InfraRed (TIR) trackers only use semantic features to represent the TIR object, which lack the sufficient ...
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking · QiaoLiuHit/MLSSNet • 9 Jun 2019. These two similarities complement each other and ...
A dual-level feature model containing the TIR-specific discriminative feature and fine-grained correlation feature for robust TIR object tracking is ...
These two feature models are constructed using a multi-task matching framework and are jointly optimized on the TIR object tracking task. In addition, we ...
... thermal infrared tracking, TIP, 2019. [Github]; MLSSNet. Liu Q, et al, Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking, TMM, 2020.