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Visual Grounding On Refcoco Testa

Metrics

IoU

Results

Performance results of various models on this benchmark

Model Name
IoU
Paper TitleRepository
HYDRA61.1HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning
XFM (base)-Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
X2-VLM (large)-X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
X2-VLM (base)-X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
X-VLM (base)-Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
mPLUG-2-mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Florence-2-large-ft-Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
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