In order to leverage the information present in all the modalities, one must model the relationships between them. While some techniques have been proposed to ...
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in ...
... The goal of cross-modal retrieval is to search the relevant samples from the retrieval set of one modality (such as text) by the given query set of another ...
In order to leverage the information present in all the modalities, one must model the relationships between them. While some techniques have been proposed to ...
In order to leverage the information present in all the modalities, one must model the relationships between them. While some techniques have been proposed to ...
Latent Topic Models. • Based on the LDA model, assuming that words correspond to real-world objects. • Aims to find correspondence between words and local ...
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in ...
This paper presents a novel cross-modal attention mechanism for correlating features extracted from the multi-modal input images and mapping such correlation ...
Jun 27, 2024 · Cross-modality transfer aims to leverage large pretrained models to complete tasks that may not belong to the modality of pretraining data.
Visual understanding is often based on measuring simi- larity between observations. Learning similarities specific to a certain perception task from a set ...
Missing: multinomial | Show results with:multinomial