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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 6 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
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...
Alexander Vezhnevets, Joachim Buhmann
DAGM
2006
Springer
14 years 2 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
SCALESPACE
2007
Springer
14 years 5 months ago
Histogram Based Segmentation Using Wasserstein Distances
In this paper, we propose a new nonparametric region-based active contour model for clutter image segmentation. To quantify the similarity between two clutter regions, we propose t...
Tony F. Chan, Selim Esedoglu, Kangyu Ni
MICCAI
2008
Springer
15 years 4 days ago
Evaluation of a Cardiac Ultrasound Segmentation Algorithm Using a Phantom
This paper evaluates the performance of a level set algorithm for segmenting the endocardium in short-axis ultrasound images. The evaluation is carried out using an anthropomorphic...
Yong Yue, Hemant D. Tagare, Ernest L. Madsen, G...
SCALESPACE
2007
Springer
14 years 5 months ago
Detecting Regions of Dynamic Texture
Abstract. Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropri...
Tomer Amiaz, Sándor Fazekas, Dmitry Chetver...