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» The 2005 PASCAL Visual Object Classes Challenge
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CVPR
2010
IEEE
14 years 4 days ago
Object Recognition as Ranking Holistic Figure-Ground Hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
Fuxin Li, JoãCarreira, Cristian Sminchisescu
CVPR
2007
IEEE
14 years 9 months ago
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
Derek Hoiem, Carsten Rother, John M. Winn
CVPR
2011
IEEE
13 years 3 months ago
Scalable Multi-class Object Detection
Scalability of object detectors with respect to the number of classes is a very important issue for applications where many object classes need to be detected. While combining sin...
Nima Razavi, Juergen Gall, Luc VanGool
ICPR
2008
IEEE
14 years 1 months ago
Novel image feature alphabets for object recognition
Most successful object recognition systems are based on a visual alphabet of quantised gradient orientations. Here, we introduce two richer image feature alphabets for use in obje...
Martin Lillholm, Lewis D. Griffin
ECCV
2010
Springer
14 years 18 days ago
Localizing Objects while Learning Their Appearance
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...