AI RESEARCH
RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation
arXiv CS.CV
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ArXi:2605.07334v1 Announce Type: new Video Reasoning Segmentation (VRS) aims to segment target objects in videos based on implicit instructions that convey human intent and temporal logic. Existing MLLM-based methods predict masks with a [SEG] token after selecting frames via simple sampling or an auxiliary MLLM, where limited supervision and frame-language similarity rules often yield narrow-scope keyframe choices that weaken holistic temporal understanding and lead to brittle localization in complex multi-object scenes. To address these issues, we.