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» Meta-Evaluation of Image Segmentation Using Machine Learning
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CVPR
2012
IEEE
11 years 10 months ago
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
Wenze Hu
ICCV
2009
IEEE
15 years 19 days ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
CVPR
2011
IEEE
13 years 3 months ago
Modeling the joint density of two images under a variety of transformations
We describe a generative model of the relationship between two images. The model is defined as a factored threeway Boltzmann machine, in which hidden variables collaborate to de...
Joshua Susskind, Roland Memisevic, Geoffrey Hinton...
ECCV
2006
Springer
14 years 9 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
ICMLA
2009
13 years 5 months ago
Exploring Scale-Induced Feature Hierarchies in Natural Images
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...