Visual Grounding On Refcoco Test B

Accuracy (%)

Results

Performance results of various models on this benchmark

		Paper Title
Florence-2-large-ft	92.0	Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
mPLUG-2	86.05	mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
X2-VLM (large)	81.8	X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
XFM (base)	79.8	Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
X2-VLM (base)	78.4	X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
X-VLM (base)	76.91	Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

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