EVJVQA Challenge: Multilingual Visual Question Answering

arXiv:2302.11752v5 Announce Type: replace
Abstract: Visual Question Answering (VQA) is a challenging task of natural language processing (NLP) and computer vision (CV), attracting significant attention from researchers. English is a resource-rich language that has witnessed various developments in datasets and models for visual question answering. Visual question answering in other languages also would be developed for resources and models. In addition, there is no multilingual dataset targeting the visual content of a particular country with its own objects and cultural …

abstract arxiv attention challenge computer computer vision cs.cl datasets english language language processing languages multilingual natural natural language natural language processing nlp processing question question answering researchers type vision visual vqa