Probabilistic joint image segmentation and labeling by figure-ground composition

DOI10.1007/s11263-013-0663-7zbMath1328.68273OpenAlexW2158482380MaRDI QIDQ903452

João Carreira, Adrian Ion, Cristian Sminchisescu

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-013-0663-7

zbMATH Keywords

image segmentationstatistical modelsimage labelinglearning and categorizationsemantic segmentation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Related Items (1)

Probabilistic joint image segmentation and labeling by figure-ground composition

Uses Software

• BSDS
• SIFT
• PASCAL VOC

Cites Work

• Recovering occlusion boundaries from an image
• Harmony potentials fusing global and local scale for semantic image segmentation
• Probabilistic joint image segmentation and labeling by figure-ground composition
• Training Products of Experts by Minimizing Contrastive Divergence
• 10.1162/153244303322533214

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