AI RESEARCH
Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation
arXiv CS.CV
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ArXi:2510.19592v2 Announce Type: replace Multimodal large language models (MLLMs) nstrate strong video understanding by attending to visual tokens relevant to textual queries. To directly adapt this for localization in a