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inria-00548597, version 1

The 2005 PASCAL Visual Object Classes Challenge

Mark Everingham ¹, Andrew Zisserman ()^a^, 1, Chris Williams ², Luc Van Gool ³, Moray Allan ¹, Christopher M. Bishop () ⁴, Olivier Chapelle ⁵, Navneet Dalal ⁶, Thomas Deselaers ⁷, Gyuri Dorkó ⁸, Stefan Duffner ⁹, Jan Eichhorn ⁵, Jason Farquhar ¹⁰, Mario Fritz ⁸, Christophe Garcia ⁹, Tom Griffiths ², Frédéric Jurie ( Author to contact preferably ) ⁶, Thomas Keysers ⁷, Markus Koskela ¹¹, Jorma Laaksonen ¹¹, Diane Larlus ⁶, Bastian Leibe ⁸, Hongying Meng ¹⁰, Hermann Ney ⁷, Bernt Schiele ⁸, Cordelia Schmid () ⁶, Edgar Seemann ⁸, John Shawe-Taylor ¹⁰, Amos Storkey ¹, Sandor Szedmak ¹⁰, Bill Triggs ⁶, Ilkay Ulusoy ¹², Ville Viitaniemi ¹¹, Jianguo Zhang ⁶

First PASCAL Machine Learning Challenges Workshop (MLCW '05) 3944 (2005) 117--176

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.

a – University of Oxford
1: Visual Geometry Group (VGG)
University of Oxford
2: School of Informatics (Informatics)
University of Edinburgh
3: Eldgenössische Technische Hochschule Zürich (ETH Zürich)
ETH Zurich
4: Microsoft Research [Cambridge] (Microsoft)
Microsoft Research
5: Max Planck Institute for Biological Cybernetics (MPI)
Max-Planck-Institut
6: LEAR (IMAG-INRIA Rhône-Alpes / GRAVIR)
CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
7: Department of Computer Science - RWTH Aachen University
RWTH Aachen University
8: Department of Computer Science
Technische Universitat Darmstadt
9: France Télécom R&D
France Télécom
10: School of Electronics and Computer Science (ECS)
University of Southampton
11: Laboratory of Computer and Information Science (CIS)
Helsinki University of Technology
12: Middle East Technical University (METU)
Middle East Technical University

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Submitted on: Monday, 20 December 2010 09:49:52
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DOI: 10.1007/11736790_8

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%% inria-00548597, version 1
%% http://hal.inria.fr/inria-00548597
@inproceedings{everingham:inria-00548597,
    hal_id = {inria-00548597},
    url = {http://hal.inria.fr/inria-00548597},
    title = {{The 2005 PASCAL Visual Object Classes Challenge}},
    author = {Everingham, Mark and Zisserman, Andrew and Williams, Chris and Van Gool, Luc and Allan, Moray and Bishop, Christopher M. and Chapelle, Olivier and Dalal, Navneet and Deselaers, Thomas and Dork{\'o}, Gyuri and Duffner, Stefan and Eichhorn, Jan and Farquhar, Jason and Fritz, Mario and Garcia, Christophe and Griffiths, Tom and Jurie, Fr{\'e}d{\'e}ric and Keysers, Thomas and Koskela, Markus and Laaksonen, Jorma and Larlus, Diane and Leibe, Bastian and Meng, Hongying and Ney, Hermann and Schiele, Bernt and Schmid, Cordelia and Seemann, Edgar and Shawe-Taylor, John and Storkey, Amos and Szedmak, Sandor and Triggs, Bill and Ulusoy, Ilkay and Viitaniemi, Ville and Zhang, Jianguo},
    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.}},
    language = {English},
    affiliation = {Visual Geometry Group - VGG , School of Informatics - Informatics , Eldgen{\"o}ssische Technische Hochschule Z{\"u}rich - ETH Z{\"u}rich , Microsoft Research [Cambridge] - Microsoft , Max Planck Institute for Biological Cybernetics - MPI , LEAR - IMAG-INRIA Rh{\^o}ne-Alpes / GRAVIR , Department of Computer Science - RWTH Aachen University , Department of Computer Science , France T{\'e}l{\'e}com R\&D , School of Electronics and Computer Science - ECS , Laboratory of Computer and Information Science - CIS , Middle East Technical University - METU},
    booktitle = {{First PASCAL Machine Learning Challenges Workshop (MLCW '05)}},
    publisher = {Springer-Verlag},
    pages = {117--176},
    address = {Southampton, United Kingdom},
    volume = {3944},
    editor = {Joaquin Qui{\\~n}onero-Candela and Ido Dagan and Bernardo Magnini and Florence d'Alch{\'e}-Buc },
    series = {Lecture Notes in Computer Science (LNCS) },
    audience = {international },
    doi = {10.1007/11736790\_8 },
    year = {2006},
    pdf = {http://hal.inria.fr/inria-00548597/PDF/EZKVAMCDDDDEDFGGJKKL.pdf},
}

%F inria-00548597, version 1
%0 Conference Proceedings
%U http://hal.inria.fr/inria-00548597
%2 INFO:INFO_CV
%T The 2005 PASCAL Visual Object Classes Challenge
%A Everingham, Mark
%A Zisserman, Andrew
%A Williams, Chris
%A Van Gool, Luc
%A Allan, Moray
%A Bishop, Christopher M.
%A Chapelle, Olivier
%A Dalal, Navneet
%A Deselaers, Thomas
%A Dorkó, Gyuri
%A Duffner, Stefan
%A Eichhorn, Jan
%A Farquhar, Jason
%A Fritz, Mario
%A Garcia, Christophe
%A Griffiths, Tom
%A Jurie, Frédéric
%A Keysers, Thomas
%A Koskela, Markus
%A Laaksonen, Jorma
%A Larlus, Diane
%A Leibe, Bastian
%A Meng, Hongying
%A Ney, Hermann
%A Schiele, Bernt
%A Schmid, Cordelia
%A Seemann, Edgar
%A Shawe-Taylor, John
%A Storkey, Amos
%A Szedmak, Sandor
%A Triggs, Bill
%A Ulusoy, Ilkay
%A Viitaniemi, Ville
%A Zhang, Jianguo
%+ Visual Geometry Group - VGG , School of Informatics - Informatics , Eldgenössische Technische Hochschule Zürich - ETH Zürich , Microsoft Research [Cambridge] - Microsoft , Max Planck Institute for Biological Cybernetics - MPI , LEAR - IMAG-INRIA Rhône-Alpes / GRAVIR , Department of Computer Science - RWTH Aachen University , Department of Computer Science , France Télécom R&D , School of Electronics and Computer Science - ECS , Laboratory of Computer and Information Science - CIS , Middle East Technical University - METU
%X 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.
%G English
%8 2006-00-00
%2 international
%B First PASCAL Machine Learning Challenges Workshop (MLCW '05)
%2 Southampton
%2 United Kingdom
%8 2005-04-11
%8 2005-04-13
%E Joaquin Quiñonero-Candela and Ido Dagan and Bernardo Magnini and Florence d'Alché-Buc
%I Springer-Verlag
%2 Machine Learning Challenges
%V 3944
%N Lecture Notes in Computer Science (LNCS)
%P 117--176
%R 10.1007/11736790_8
%2 http://springerlink.metapress.com/content/mj0641n75434n534/
%2 2006

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