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» Meta-Evaluation of Image Segmentation Using Machine Learning
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125
Voted
ICIP
2003
IEEE
16 years 3 months ago
Color photo categorization using compressed histograms and support vector machines
In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
Xia Feng, Jianzhong Fang, Guoping Qiu
110
Voted
ISBI
2008
IEEE
16 years 2 months ago
3D general lesion segmentation in CT
This paper describes a general purpose algorithm to segment any kind of lesions in CT images. The algorithm expects a click or a stroke inside the lesion from the user and learns ...
Marie-Pierre Jolly, Leo Grady
124
Voted
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 10 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
136
Voted
ICIP
2005
IEEE
16 years 3 months ago
Using appearance and context for outdoor scene object classification
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
Anna Bosch, Joan Martí, Xavier Muñoz
126
Voted
ICIP
2006
IEEE
16 years 3 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen