AI RESEARCH

AR2-4FV: Anchored Referring and Re-identification for Long-Term Grounding in Fixed-View Videos

arXiv CS.CV

ArXi:2603.07758v1 Announce Type: new Long-term language-guided referring in fixed-view videos is challenging: the referent may be occluded or leave the scene for long intervals and later re-enter, while framewise referring pipelines drift as re-identification (ReID) becomes unreliable. AR2-4FV leverages background stability for long-term referring. An offline Anchor Bank is distilled from static background structures; at inference, the text query is aligned with this bank to produce an Anchor Map that serves as persistent semantic memory when the referent is absent.