150 search results - page 2 / 30 » Shape Discovery from Unlabeled Image Collections |
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
CVPR
2000
IEEE
14 years 7 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...