50 search results - page 2 / 10 » Weakly Supervised Scale-Invariant Learning of Models for Vis... |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
CORR
2011
Springer
12 years 8 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...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
AAAI
2000
13 years 6 months ago
2000
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...