{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:39:43Z","timestamp":1777567183224,"version":"3.51.4"},"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":[[2023,8]]},"abstract":"<jats:p>Active visual exploration addresses the issue of limited sensor capabilities in real-world scenarios, where successive observations are actively chosen based on the environment. To tackle this problem, we introduce a new technique called Attention-Map Entropy (AME). It leverages the internal uncertainty of the transformer-based model to determine the most informative observations. In contrast to existing solutions, it does not require additional loss components, which simplifies the training. Through experiments, which also mimic retina-like sensors, we show that such simplified training significantly improves the performance of reconstruction, segmentation and classification on publicly available datasets.<\/jats:p>","DOI":"10.24963\/ijcai.2023\/145","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:31:30Z","timestamp":1691742690000},"page":"1303-1311","source":"Crossref","is-referenced-by-count":6,"title":["Active Visual Exploration Based on Attention-Map Entropy"],"prefix":"10.24963","author":[{"given":"Adam","family":"Pardyl","sequence":"first","affiliation":[{"name":"IDEAS NCBR"},{"name":"Jagiellonian University, Faculty of Mathematics and Computer Science"},{"name":"Jagiellonian University, Doctoral School of Exact and Natural Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grzegorz","family":"Rype\u015b\u0107","sequence":"additional","affiliation":[{"name":"IDEAS NCBR"},{"name":"Warsaw University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grzegorz","family":"Kurzejamski","sequence":"additional","affiliation":[{"name":"IDEAS NCBR"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bartosz","family":"Zieli\u0144ski","sequence":"additional","affiliation":[{"name":"IDEAS NCBR"},{"name":"Jagiellonian University, Faculty of Mathematics and Computer Science"},{"name":"Ardigen"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Trzci\u0144ski","sequence":"additional","affiliation":[{"name":"IDEAS NCBR"},{"name":"Warsaw University of Technology"},{"name":"Jagiellonian University, Faculty of Mathematics and Computer Science"},{"name":"Tooploox"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","theme":"Artificial Intelligence","location":"Macau, SAR China","acronym":"IJCAI-2023","number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2023,8,19]]},"end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:37:29Z","timestamp":1691743049000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/145"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/145","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}