VOTChallenge
Visual Object Tracking
홈페이지 · 논문 36편
The Visual Object Tracking (VOT) dataset is a collection of video sequences used for evaluating and benchmarking visual object tracking algorithms. It provides a standardized platform for researchers and practitioners to assess the performance of different tracking methods.