M$^3$-VOS
M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
홈페이지 · 논문 4편
## 💡 Description A new benchmark, Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation (M$^3$-VOS), to verify the ability of models to understand object phases, which consists of 479 high-resolution videos spanning over 10 distinct everyday scenarios. We collected 205,181 masks, with an average track duration of 14.27s. M$^3$-VOS covers 120+ categories of objects across 6 phases within 14 scenarios, encompassing 23 specific phase transitions. - Venue: CVPR2025 - Repository: Tool 🛠️, Page🏠 - Paper: arxiv.org/html/2412.13803v2 - Point of Contact: [Jiaxin Li](li_jiaxin@sjtu.edu.cn) , [Zixuan Chen](m13953842591@sjtu.edu.cn)
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