wenz116/RefContrast

Understanding Synonymous Referring Expressions via Contrastive Features

20
/ 100
Experimental

This helps researchers in computer vision and natural language processing to better link specific objects within an image to their natural language descriptions. It takes an image and a textual description as input, then identifies the precise object referred to by the text, even when different phrasings are used. This is for AI/ML researchers developing advanced image-text understanding models.

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Use this if you are developing or evaluating models that need to accurately localize objects in images based on diverse and synonymous natural language descriptions.

Not ideal if you are looking for a ready-to-use application for image annotation or general image search, as this is a research implementation for model development.

computer-vision natural-language-processing referring-expression-comprehension image-text-matching AI-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 8 / 25

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Apr 21, 2021

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