Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to
achieve robust performance and wider application scenarios with the guidance of objects' …

Occlusion has been proven to be one of the most challenging factors faced by most visual
trackers. There are mainly two difficulties, the first one is that the number of occlusion …

With more and more large-scale datasets available for training, visual tracking has made
great progress in recent years. However, current research in the field mainly focuses on …

Visual tracking has achieved considerable progress in recent years. However, current
research in the field mainly focuses on tracking of opaque objects, while little attention is …

High quality object proposals are crucial in visual tracking algorithms that utilize region
proposal network (RPN). Refinement of these proposals, typically by box regression and …

In this paper, we introduce TIVE, a Toolbox for Identifying Video instance segmentation
Errors. By directly operating output prediction files, TIVE defines isolated error types and …