Semantic segmentation priors for object discovery

Germán Martín García; Farzad Husain; Hannes Schulz; Simone Frintrop; Carme Torras; Sven Behnke

doi:10.1109/icpr.2016.7899691

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JOURNAL ARTICLE

Semantic segmentation priors for object discovery

Germán Martín García Farzad Husain Hannes Schulz Simone Frintrop Carme Torras Sven Behnke

Year: 2016 Vol: 8689 Pages: 549-554

DOI: 10.1109/icpr.2016.7899691

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Abstract

Trabajo presentado a la 23rd International Conference on Pattern Recognition, celebrada en Cancún (México) del 5 al 8 de diciembre de 2016.

Keywords:

Computer science Artificial intelligence Segmentation Object (grammar) Prior probability Object detection Pattern recognition (psychology) Computer vision Bayesian probability

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semantic segmentation priors for object discovery

Abstract

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Citation History

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