AI RESEARCH
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation
arXiv CS.CV
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ArXi:2604.15670v1 Announce Type: new Reasoning segmentation has recently expanded from ground-level scenes to remote-sensing imagery, yet UAV data poses distinct challenges, including oblique viewpoints, ultra-high resolutions, and extreme scale variations. To address these issues, we formally define the UAV Reasoning Segmentation task and organize its semantic requirements into three dimensions: Spatial, Attribute, and Scene-level reasoning.