The 2005 PASCAL visual object classes challenge

Authors:
Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool;Moray Allan;Christopher M. Bishop;Olivier Chapelle;Navneet Dalal;Thomas Deselaers;Gyuri Dorkó;Stefan Duffner;Jan Eichhorn;Jason D. R. 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;Bill Triggs;Ilkay Ulusoy;Ville Viitaniemi;Jianguo Zhang
Affiliations:
University of Oxford, Oxford, UK;University of Oxford, Oxford, UK;University of Edinburgh, Edinburgh, UK;ETH Zentrum, Zurich, Switzerland;University of Edinburgh, Edinburgh, UK;Microsoft Research, Cambridge, UK;Max Planck Institute for Biological Cybernetics, Tübingen, Germany;INRIA Rhône-Alpes, Montbonnot, France;RWTH Aachen University, Aachen, Germany;INRIA Rhône-Alpes, Montbonnot, France;France Télécom, Cesson Sévigné, France;Max Planck Institute for Biological Cybernetics, Tübingen, Germany;University of Southampton, Southampton, UK;TU-Darmstadt, Darmstadt, Germany;France Télécom, Cesson Sévigné, France;University of Edinburgh, Edinburgh, UK;INRIA Rhône-Alpes, Montbonnot, France;RWTH Aachen University, Aachen, Germany;Helsinki University of Technology, Helsinki, Finland;Helsinki University of Technology, Helsinki, Finland;INRIA Rhône-Alpes, Montbonnot, France;TU-Darmstadt, Darmstadt, Germany;University of Southampton, Southampton, UK;RWTH Aachen University, Aachen, Germany;TU-Darmstadt, Darmstadt, Germany;INRIA Rhône-Alpes, Montbonnot, France;TU-Darmstadt, Darmstadt, Germany;University of Southampton, Southampton, UK;University of Edinburgh, Edinburgh, UK;University of Southampton, Southampton, UK;INRIA Rhône-Alpes, Montbonnot, France;Middle East Technical University, Ankara, Turkey;Helsinki University of Technology, Helsinki, Finland;INRIA Rhône-Alpes, Montbonnot, France
Venue:
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Year:
2005

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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.