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Found 7 papers, 3 papers with code
Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances (ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities)
Dans le contexte général des traitements multimodaux, nous nous intéressons à la tâche de réponse à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances (KVQAE).
Cross-modal Retrieval for Knowledge-based Visual Question Answering
Knowledge-based Visual Question Answering about Named Entities is a challenging task that requires retrieving information from a multimodal Knowledge Base.
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
We present a new pre-training method, Multimodal Inverse Cloze Task, for Knowledge-based Visual Question Answering about named Entities (KVQAE).
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
To benchmark this task, called KVQAE (Knowledge-based Visual Question Answering about named Entities), we provide ViQuAE, a dataset of 3. 7K questions paired with images.
TVD: A Reproducible and Multiply Aligned TV Series Dataset
We introduce a new dataset built around two TV series from different genres, The Big Bang Theory, a situation comedy and Game of Thrones, a fantasy drama.
