91 citations · 158 across the 8 of their papers we have counts for
8 papers · 1 filter
The 2nd Anti-UAV Workshop & Challenge: Methods and Results
Jian Zhao, Gang Wang, Jianan Li +9
The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-U…
TCDesc: Learning Topology Consistent Descriptors for Image Matching
Honghu Pan, Fanyang Meng, Nana Fan +1
The constraint of neighborhood consistency or local consistency is widely used for robust image matching. In this paper, we focus on learning neighborhood topology consistent descr…
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Qiao Liu, Xin Li, Zhenyu He +8
In this paper, we present a Large-Scale and high-diversity general Thermal InfraRed (TIR) Object Tracking Benchmark, called LSOTBTIR, which consists of an evaluation dataset and a…
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking
Di Yuan, Xiu Shu, Nana Fan +3
Most existing trackers are based on using a classifier and multi-scale estimation to estimate the target state. Consequently, and as expected, trackers have become more stable whil…
Multi-Task Driven Feature Models for Thermal Infrared Tracking
Qiao Liu, Xin Li, Zhenyu He +4
Existing deep Thermal InfraRed (TIR) trackers usually use the feature models of RGB trackers for representation. However, these feature models learned on RGB images are neither eff…
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
Qiao Liu, Xin Li, Zhenyu He +3
Existing deep Thermal InfraRed (TIR) trackers only use semantic features to describe the TIR object, which lack the sufficient discriminative capacity for handling distractors. Thi…
Region-filtering Correlation Tracking
Nana Fan, Zhenyu He
Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region,including th…
Hierarchical Spatial-aware Siamese Network for Thermal Infrared Object Tracking
Xin Li, Qiao Liu, Nana Fan +2
Most thermal infrared (TIR) tracking methods are discriminative, treating the tracking problem as a classification task. However, the objective of the classifier (label prediction)…