This workshop presented and discussed the results of the PASCAL Visual Object Classes Challenge (VOC2008). As in previous years' challenges there are two main competitions, one testing image classification ("does the image contain an instance of this class?"), and one testing object detection ("provide a bounding box for each instance of the class, if any"). In addition there are two 'taster' competitions: the first evaluates the object layout in more detail ("detect the hands, feet etc for a person"), the second evaluates object segmentation at the pixel level.
A new database has been prepared consisting of 20 classes with around 25000 annotated instances in total. The images are obtained from flickr. The classes include people, cats, dogs, cars, motorbikes, bottles and sofas. The annotation includes a rectangular bounding box and flags to indicate pose and level of difficulty.
Full details of the challenge.
The workshop was held on the morning of October 17th 2008, in association with ECCV 2008.
|09:00 - 09:25||
Overview and results of the classification challenge
University of Leeds
|09:25 - 10:00||
Muhammad Atif Tahir1, Koen van de Sande2, Jasper Uijlings2, Fei Yan1, Xirong Li2, Krystian Mikolajczyk1, Josef Kittler1, Theo Gevers2, Arnold Smeulders2
1University of Surrey; 2University of Amsterdam
Derek Hoiem1, Santosh Divvala2, James H. Hays2
1University of Illionois Urbana-Champaign; 2Carnegie Mellon University
|10:00 - 10:20||
Overview and results of the detection challenge
University of Leeds
|10:20 - 10:55||
Hedi Harzallah, Cordelia Schmid, Frederic Jurie, Adrien Gaidon
Pedro Felzenszwalb1, Ross Girshick1, David McAllester2, Deva Ramanan3
1University of Chicago; 2TTI Chicago; 3University of California, Irvine
|10:55 - 11:25||Break|
|11:25 - 11:40||
Overview and results of the segmentation taster challenge
Microsoft Research Cambridge
|11:40 - 12:15||
Gabriela Csurka, Florent Perronnin, Yan Liu
Xerox Research Centre Europe (XRCE), Textual and Visual Pattern Analysis Group
Lubor Ladicky1, Phil Torr1, Pushmeet Kohli2
1Oxford Brookes University; 2Microsoft Research Cambridge
|12.15 - 12.30||Conclusions and discussion|