The 2005 PASCAL Visual Object Classes Challenge

Abstract : The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. Twelve teams entered the challenge. In this chapter we provide details of the datasets, algorithms used by the teams, evaluation criteria, and results achieved.
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Joaquin Quiñonero-Candela and Ido Dagan and Bernardo Magnini and Florence d'Alché-Buc. First PASCAL Machine Learning Challenges Workshop (MLCW '05), Apr 2005, Southampton, United Kingdom. Springer-Verlag, 3944, pp.117--176, 2006, Machine Learning Challenges. 〈http://springerlink.metapress.com/content/mj0641n75434n534/〉. 〈10.1007/11736790_8〉
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Mark Everingham, Andrew Zisserman, Chris Williams, Luc Van Gool, Moray Allan, et al.. The 2005 PASCAL Visual Object Classes Challenge. Joaquin Quiñonero-Candela and Ido Dagan and Bernardo Magnini and Florence d'Alché-Buc. First PASCAL Machine Learning Challenges Workshop (MLCW '05), Apr 2005, Southampton, United Kingdom. Springer-Verlag, 3944, pp.117--176, 2006, Machine Learning Challenges. 〈http://springerlink.metapress.com/content/mj0641n75434n534/〉. 〈10.1007/11736790_8〉. 〈inria-00548597〉

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