AI RESEARCH
Online Reasoning Video Object Segmentation
arXiv CS.CV
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ArXi:2604.11411v1 Announce Type: new Reasoning video object segmentation predicts pixel-level masks in videos from natural-language queries that may involve implicit and temporally grounded references. However, existing methods are developed and evaluated in an offline regime, where the entire video is available at inference time and future frames can be exploited for retrospective disambiguation, deviating from real-world deployments that require strictly causal, frame-by-frame decisions.