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Segmentation / Artificial intelligence / Market segmentation / GrabCut / Memory segmentation / Object recognition / Image segment / Segmentation-based object categorization / Graph cuts in computer vision / Image processing / Computer vision / Vision


Constrained Parametric Min-Cuts for Automatic Object Segmentation Joao Carreira and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathematics and Natural
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Document Date: 2014-06-04 23:24:21


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File Size: 1,01 MB

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Company

Vf / MIT Press / /

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Facility

University of Bonn / /

IndustryTerm

intra-region contour energy / high energy segments / pseudoflow algorithm / segmentation algorithms / energy function / least energy / self-similarity energy / graph-based segmentation algorithms / automatic algorithm / energy minimization problems / interregion contour energy / trivial solutions / segmentation algorithm / max-flow algorithms / superpixel segmentation algorithms / random search algorithm / interactive segmentation applications / lowest energy / energy functions / energy / /

MusicGroup

The Grid / Natural / Mathematics / Institute / /

NaturalFeature

Random Forests / Linear Regression Random Forests / /

Organization

Faculty of Mathematics and Natural Sciences / MIT / European Commission / University of Bonn / Institute for Numerical Simulation / /

Person

C. Rother / V / Min-Cuts (CPMC) Approaches / E. Sharon / David Fleet / D. Sharon / M. Galun / R. Basri / PASCAL VOC / Cristian Sminchisescu / A. Brandt / Joao Carreira / L. Van Gool / using CPMC / /

Position

classification model for segmentation / /

ProgrammingLanguage

PASCAL / /

PublishedMedium

Machine Learning / /

Technology

Using superpixel segmentation algorithms / graph-based segmentation algorithms / pseudoflow algorithm / segmentation algorithms / max-flow algorithms / segmentation algorithm / random search algorithm / Machine Learning / Simulation / automatic algorithm / /

URL

http /

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