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ECCV
2008
Springer
14 years 11 months ago
Weakly Supervised Object Localization with Stable Segmentations
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...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
ICIP
2001
IEEE
14 years 10 months ago
Anti-geometric diffusion for adaptive thresholding and segmentation
In this paper, we present a novel adaptive thresholding technique based upon an anisotropic diffusionmodel, whichmay be referred to as the anti-geometric heat flow. In contrast to...
Siddharth Manay, Anthony J. Yezzi
ICIP
2004
IEEE
14 years 10 months ago
Statistical solution to watershed over-segmentation
A region based algorithm for segmentation motivated by a parallel implementation is introduced. It is obtained by combining the watershed transform with further merging based on a...
Valentin Gies, Thierry M. Bernard
CVPR
2007
IEEE
14 years 11 months ago
Shape Statistics for Image Segmentation with Prior
We propose a new approach to compute non-linear, intrinsic shape statistics and to incorporate them into a shape prior for an image segmentation task. Given a sample set of contou...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...

Publication
164views
12 years 8 months ago
A Statistical Overlap Prior for Variational Image Segmentation
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
Ismail Ben Ayed, Shuo Li and Ian Ross