ECCV
2010
Springer
13 years 11 months ago
2010
Springer
We introduce a new descriptor for images which allows the construction of efficient and compact classifiers with good accuracy on object category recognition. The descriptor is the...
CLOR
2006
13 years 11 months ago
2006
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...