AI RESEARCH
ProVG: Progressive Visual Grounding via Language Decoupling for Remote Sensing Imagery
arXiv CS.CV
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ArXi:2604.01893v1 Announce Type: new Remote sensing visual grounding (RSVG) aims to localize objects in remote sensing imagery according to natural language expressions. Previous methods typically rely on sentence-level vision-language alignment, which struggles to exploit fine-grained linguistic cues, such as \textit{spatial relations} and \textit{object attributes}, that are crucial for distinguishing objects with similar characteristics. Importantly, these cues play distinct roles across different grounding stages and should be leveraged accordingly to provide explicit guidance.