The 2005 PASCAL Visual Object Classes Challenge

Laaksonen, J; Larlus, D; Schiele, B; Everingham, M; Zisserman, A; Williams, CKI; van Gool, L; Allan, M; Bishop, CM; Chapelle, O; Dalal, N; Deselaers, T; Dorkó, G; Duffner, S; Eichhorn, J; Fritz, M; Garcia, C; Griffiths, T; Jurie, F; Keysers, T; Koskela, M; Leibe, B; Meng, H; Ney, H; Schmid, C; Seemann, E; Shawe‐Taylor, J; Storkey, A; Szedmak, S; Triggs, B; Ulusoy, I; Viitaniemi, V; Jianguo, Z

doi:10.1007/11736790_8

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The 2005 PASCAL Visual Object Classes Challenge

Laaksonen, J., Larlus, D., Schiele, B., Everingham, M., Zisserman, A., Williams, C., et al. (2005). The 2005 PASCAL Visual Object Classes Challenge. In J. Quiñonero-Candela, I. Dagan, B. Magnini, & F. d’Alché-Buc (Eds.), Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005 (pp. 117-176). Berlin: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-38D4-D Version Permalink: https://hdl.handle.net/21.11116/0000-0005-38D5-C

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https://link.springer.com/content/pdf/10.1007%2F11736790_8.pdf (Publisher version) Open Access status unknown

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Creators:
Laaksonen, J, Author
Larlus, D, Author
Schiele, B, Author
Everingham, M, Author
Zisserman, A, Author
Williams, CKI, Author
van Gool, L, Author
Allan, M, Author
Bishop, CM, Author
Chapelle, O^{1, 2}, Author
Dalal, N, Author
Deselaers, T, Author
Dorkó, G, Author
Duffner, S, Author
Eichhorn, J^{1, 2}, Author
Fritz, M, Author
Garcia, C, Author
Griffiths, T, Author
Jurie, F, Author
Keysers, T, Author
Koskela, M, AuthorLeibe, B, AuthorMeng, H, AuthorNey, H, AuthorSchmid, C, AuthorSeemann, E, AuthorShawe‐Taylor, J, AuthorStorkey, A, AuthorSzedmak, S, AuthorTriggs, B, AuthorUlusoy, I, AuthorViitaniemi, V, AuthorJianguo, Z, Author more..

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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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.

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Language(s): eng - English

Dates: Date issued: 2005-04

Publication Status: Issued

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Identifiers: DOI: 10.1007/11736790_8

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Title: First PASCAL Machine Learning Challenges Workshop (MLCW 2005)

Place of Event: Southampton, UK

Start-/End Date: 2005-04-11 - 2005-04-13

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Title: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005

Source Genre: Proceedings

Creator(s):
Quiñonero-Candela, J¹, Editor
Dagan, I¹, Editor
Magnini, B¹, Editor
d’Alché-Buc, F¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Berlin : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 117 - 176 Identifier: ISBN: 978-3-540-33427-9

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Title: Lecture Notes in Computer Science

Abbreviation : LNCS

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Pages: - Volume / Issue: 3944 Sequence Number: - Start / End Page: - Identifier: -