17 search results - page 2 / 4 » Weakly Supervised Top-down Image Segmentation |
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
CVPR
2010
IEEE
14 years 1 months 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...
CORR
2011
Springer
12 years 9 months ago
2011
Springer
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
TIP
2008
13 years 5 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...