{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T08:25:13Z","timestamp":1774599913149,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>We describe a method for visual question answering which is capable of reasoning about an image on the basis of information extracted from a large-scale knowledge base. The method not only answers natural language questions using concepts not contained in the image, but can explain the reasoning by which it developed its answer. It is capable of answering far more complex questions than the predominant long short-term memory-based approach, and outperforms it significantly in testing. We also provide a dataset and a protocol by which to evaluate general visual question answering methods.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/179","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T09:14:07Z","timestamp":1501233247000},"page":"1290-1296","source":"Crossref","is-referenced-by-count":110,"title":["Explicit Knowledge-based Reasoning for Visual Question Answering"],"prefix":"10.24963","author":[{"given":"Peng","family":"Wang","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University, China"},{"name":"The University of Adelaide, Australia"}]},{"given":"Qi","family":"Wu","sequence":"additional","affiliation":[{"name":"Australian Centre for Robotic Vision"}]},{"given":"Chunhua","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Adelaide, Australia"}]},{"given":"Anthony","family":"Dick","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Australia"}]},{"given":"Anton","family":"van den Hengel","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Australia"},{"name":"Australian Centre for Robotic Vision"}]}],"member":"10584","event":{"name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","theme":"Artificial Intelligence","location":"Melbourne, Australia","acronym":"IJCAI-2017","number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"start":{"date-parts":[[2017,8,19]]},"end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T11:52:38Z","timestamp":1501242758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/179"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/179","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}