50 search results - page 1 / 10 » Weakly Supervised Scale-Invariant Learning of Models for Vis... |
IJCV
2007
14 years 5 months ago
2007
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
ECCV
2008
Springer
15 years 7 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
ECCV
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
ICCV
2011
IEEE
13 years 5 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
ICCV
2005
IEEE
15 years 7 months ago
2005
IEEE
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...