Nov 21, 2022 · In this paper, we explore the bold hypothesis that an image and its caption can be simply regarded as two different views of the underlying mutual information.

In this work, we explore the hypothesis that an image and caption can be regarded as two different views of the under- lying mutual information, and train a ...

The hypothesis that an image and caption can be regarded as two different views of the underlying mutual information is explored, and a model to learn a ...

Oct 22, 2024 · In this work, we explore the hypothesis that an image and caption can be regarded as two different views of the underlying mutual information, ...

Nov 21, 2022 · In this paper, we explore the bold hypothesis that an image and its caption can be simply regarded as two different views of the underlying ...

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We train a modality-agnostic Vision-Language model, OneR, and investigate intriguing properties of a unified V-L representation. Leveraging Off-the-shelf ...

One Representation. Introduced by Jang et al. in Unifying Vision-Language Representation Space with Single-tower Transformer.

Involves models that adapt pre-training to the field of Vision-and-Language (VL) learning and improve the performance on downstream tasks.

Unifying Vision-Language Representation Space with Single-Tower Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 37, 1 (Jun. 2023) ...