pith:ZJVZ5MFZ
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
A model trained on web synthetic GUI data enables agents to ground referring expressions to pixels using only screenshots, outperforming text-augmented systems.
arxiv:2410.05243 v3 · 2024-10-07 · cs.AI · cs.CL · cs.CV
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Claims
Empirical results on six benchmarks spanning three categories show that UGround substantially outperforms existing visual grounding models for GUI agents by up to 20% absolute, and agents with UGround outperform state-of-the-art agents despite existing agents using additional text-based input while ours only uses visual perception.
That web-based synthetic data combined with slight adaptation of the LLaVA architecture produces a model that generalizes robustly to real-world, diverse GUI platforms and referring expressions beyond the training distribution.
UGround is a universal visual grounding model for GUI agents that uses only screenshots to locate elements and outperforms existing agents despite lacking text-based inputs.
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| First computed | 2026-05-17T23:38:46.566939Z |
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· · · · ·Agent API
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