15 search results - page 1 / 3 » Semantic texton forests for image categorization and segment... |
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
CVPR
2010
IEEE
14 years 11 days ago
2010
IEEE
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
DAGM
2004
Springer
13 years 10 months ago
2004
Springer
We propose an approach to categorize real-world natural scenes based on a semantic typicality measure. The proposed typicality measure allows to grade the similarity of an image wi...
CVPR
2011
IEEE
13 years 19 days ago
2011
IEEE
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...