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Rodner, Erik ; Denzler, Joachim

Theory of Learning with Few Examples and Object Localization

08422.RodnerErik.ExtAbstract.1861.pdf (0.1 MB)


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.

BibTeX - Entry

  author =	{Erik Rodner and Joachim Denzler},
  title =	{Theory of Learning with Few Examples and Object Localization},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  year =	{2009},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{},
  annote =	{Keywords: Object detection, one-shot learning, knowledge transfer},

Keywords: Object detection, one-shot learning, knowledge transfer
Seminar: 08422 - Klausurtagung Lehrstuhl Joachim Denzler
Issue Date: 2009
Date of publication: 29.01.2009

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