Nonetheless, we also present a holistic baseline to address visual and contextual questions and foster future research on the topic. Results show that the current state of the art is reasonably effective, but still far from satisfactory, therefore further research is this area is recommended. We propose a novel formulation of the task that requires reasoning over both the visual content and an associated natural language description, and present baselines for this task. To meet this demand, we built a large-scale heterogeneous and multilingual (Italian and English) dataset for cultural heritage that comprises approximately 500K Italian cultural assets and 6.5M question-answer pairs. : THE NUMBER 753-6-96-8 (9783037311554) by Ott, Thomas and a great selection of similar New, Used and Collectible Books available now at great prices. Everyday low prices and free delivery on eligible orders. However, the development of visual question answering models for cultural heritage is prevented by the lack of suitable large-scale datasets. Buy Number 753-6-96-8 01 by Ott, Thomas (ISBN: 9781560978756) from Amazons Book Store. In the cultural heritage domain this task can contribute to assist visitors in museums and cultural sites, thus increasing engagement. Visual question answering has recently been settled as a fundamental multi-modal reasoning task of artificial intelligence that allows users to get information about visual content by asking questions in natural language.
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