HyperAI
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HyperAI

Natural Language Visual Grounding On

Métriques

Accuracy (%)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Accuracy (%)
Paper TitleRepository
OS-Atlas-Base-7B82.47OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Aguvis-7B83.0Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction-
Qwen-GUI28.6GUICourse: From General Vision Language Models to Versatile GUI Agents
UGround73.3Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
OS-Atlas-Base-4B68.0OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
ShowUI75.1ShowUI: One Vision-Language-Action Model for GUI Visual Agent
UGround-V1-7B86.34Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
Groma5.2Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
ShowUI-G75.0ShowUI: One Vision-Language-Action Model for GUI Visual Agent
MiniGPT-v25.7MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Aria-UI81.1Aria-UI: Visual Grounding for GUI Instructions-
Qwen2-VL-7B42.1Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
OmniParser73.0OmniParser for Pure Vision Based GUI Agent
UGround-V1-2B77.67Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
Qwen-VL5.2Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
SeeClick53.4SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Aguvis-G-7B81.0Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction-
CogAgent47.4CogAgent: A Visual Language Model for GUI Agents
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