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Apr 18, 2023 · We propose MERU, a contrastive model that yields hyperbolic representations of images and text. Hyperbolic spaces have suitable geometric properties to embed ...
Visual and linguistic concepts naturally organize themselves in a hierarchy, where a textual con- cept “dog” entails all images that contain dogs.
Hyperbolic Image-Text Representations. from github.com
Dec 5, 2023 · This codebase supports training models using the RedCaps dataset. Use the RedCaps downloader tool and follow the instructions to download the dataset.
In this paper, we learn large-scale image-text representations (MERU) to capture the visual-semantic hierarchy underlying images and text. Our key innovation is ...
Jul 23, 2023 · We propose MERU, a contrastive model that yields hyperbolic representations of images and text. Hyperbolic spaces have suitable geometric ...
Hyperbolic Image-Text Representations. from www.semanticscholar.org
Apr 18, 2023 · This work proposes a novel hyperbolic density embedding based image-text representation learning approach tailored for specific medical domain data.
Aug 19, 2024 · We propose \textbf{HYDEN}, a novel hyperbolic density embedding based image-text representation learning approach tailored for specific medical domain data.
Hyperbolic Image-Text Representations. from slideslive.com
Jul 24, 2023 · We propose MERU, a contrastive model that yields hyperbolic representations of images and text. Hyperbolic manifolds have suitable geometric ...
Jan 18, 2024 · Visual and linguistic concepts naturally organize themselves in a hierarchy, where a textual concept "dog" entails all images that contain ...
We observe that the degree of hyperbolicity in image datasets is quite high, as the obtained δrel are significantly closer to 0 than to 1. (which would indicate ...