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Found 3 papers, 1 papers with code
Multimodal Entity Linking for Tweets
In many information extraction applications, entity linking (EL) has emerged as a crucial task that allows leveraging information about named entities from a knowledge base.
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features
In a transfer-learning scheme, the intermediate layers of a pre-trained CNN are employed as universal image representation to tackle many visual classification problems.
Aggregating Image and Text Quantized Correlated Components
To address this problem, we first put forward here a new representation method that aggregates information provided by the projections of both modalities on their aligned subspaces.
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