PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The 2005 PASCAL Visual Object Classes Challenge
Mark Everingham, Andrew Zisserman, Christopher Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyorgy Dorko, Stefan Duffner, Jan Eichhorn, Jason Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, William Triggs, Ilkay Ulusoy, Ville Viitaniemi and Jianguo Zhang
In: Selected Proceedings of the first PASCAL Challenges Workshop LNAI . (2006) Springer .

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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EPrint Type:Book Section
Additional Information:Report on the Pascal 101 Visual Object Classes Challenge http://www.pascal-network.org/challenges/VOC/
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Learning/Statistics & Optimisation
ID Code:1212
Deposited By:Andrew Zisserman
Deposited On:25 November 2005