SOURCE-LINKED INTELLIGENCE
RankGround: Efficient High-Resolution GUI Grounding via Lightweight Reranker-Guided Crop Selection
Graphical User Interface (GUI) grounding is a fundamental perception task for multimodal agents, enabling them to interpret natural language instructions and interact with digital interfaces. Existing methods face a fundamental trade-off between accuracy and efficiency: direct full-image inference often fails to capture small or visually similar UI elements, while multi-crop strategies improve localization at the cost of multiple expensive Vision-Language Model (VLM) calls per query. To address this challenge, we propose RankGround, a two-stage framework that achieves accurate GUI grounding wi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T14:06:38.000Z
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.