20.500.12556/RUL-190183 A unified toolkit for visual object tracking and segmentation evaluation We present a toolkit for evaluating and analyzing visual object tracking and segmentation methods. In contrast to most existing tools, the proposed toolkit introduces a unified representation of these tasks, enabling tracking of one or more objects with different object descriptions, from points to segmentation masks. Moreover, it is organized in a modular manner, supporting multiple integration types, various experiment types, and comprehensive reporting. The toolkit’s purpose aligns with the goals of the tracking community by supporting evaluation for all VOT and VOTS challenges, as well as for several other video-tracking or segmentation datasets. It is also extensible in almost every direction (data, methods, experiment design). This paper illustrates the toolkit’s architecture and usage patterns, and discusses its role in supporting the community’s transition towards unified video understanding. tracking video segmentation performance evaluation Python sledenje video segmentacija ocenjevanje performans Python true false true Angleški jezik Slovenski jezik Članek v reviji 2026-10-23 12:16:08 2026-10-23 12:16:09 2026-10-24 04:37:13 0000-00-00 00:00:00 2027 0 0 6 str. art. 135295 Vol. 709 Jan. 2027 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.93:004.42 0925-2312 10.1016/j.neucom.2026.135295 302073859 A_unified_toolkit_Cehovin_Zajc_2027.pdf A_unified_toolkit_Cehovin_Zajc_2027.pdf 1 A4E267AB26E331C0253991D702CF7886 2207f7d9e304634b4340bca1c955ce108e6eb6bf7ead3f756e59ab2de13dc5bf 00f02fb5-cecb-11f1-aea2-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=251380 https://www.sciencedirect.com/science/article/pii/S0925231226026937 1 c452d68e-ceca-11f1-aea2-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=251378 Fakulteta za računalništvo in informatiko 0 0 0