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oai:drops-oai.dagstuhl.de:1861 2024-03-06T11:08:24Z ddc:004 open_access

Theory of Learning with Few Examples and Object Localization Rodner, Erik Denzler, Joachim Object detection one-shot learning knowledge transfer Visual object localization and categorization is still a big challenge for current research and gets even more difficult when confronted with few training examples. Therefore we will present a Bayesian concept to enhance state-of-the-art machine learning techniques even when dealing with just a single view of an object category. Furthermore an object localization approach is presented, which can serve as a baseline for researchers within the area of object localization. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Erik Rodner and Joachim Denzler 2009 Is Part Of Dagstuhl Seminar Proceedings, Volume 8422, Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes (2009) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08422.9 urn:nbn:de:0030-drops-18613 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08422.9 eng https://creativecommons.org/licenses/by/4.0/legalcode