Portal de Periódicos da CAPES

The 2005 PASCAL Visual Object Classes Challenge

2006; Springer Science+Business Media; Linguagem: Inglês

10.1007/11736790_8

1611-3349

Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, J Eichhorn, Jason Farquhar, Mario Fritz, Christophe García, Thomas L. Griffiths, Frédéric 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, Sándor Szedmák, Bill Triggs, İlkay Ulusoy, Ville Viitaniemi, Jianguo Zhang,

Image Retrieval and Classification Techniques

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.