42 search results - page 2 / 9 » Discriminant Saliency for Visual Recognition from Cluttered ... |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
BMVC
2010
13 years 5 months ago
2010
In this paper we propose a novel approach to introducing semantic relations into the bag-of-words framework. We use the latent semantic models, such as LSA and pLSA, in order to d...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...