55 search results - page 1 / 11 » On Parameter Learning in CRF-based Approaches to Object Clas... |
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
ACCV
1998
Springer
13 years 9 months ago
1998
Springer
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...