342 search results - page 40 / 69 » Learning from Ambiguously Labeled Images |
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
IPMI
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
CVPR
2012
IEEE
11 years 11 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...
MM
2009
ACM
14 years 3 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...