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Dense semantic image segmentation with objects and attributes

Dense semantic image segmentation with objects and attributes. Torr Vision Group, University of Oxford. *The Technische Universität Dresden. Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother*, Philip H. S. Torr. Traditional Goal. ceiling. Wall.

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Dense semantic image segmentation with objects and attributes

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  1. Dense semantic image segmentation with objects and attributes Torr Vision Group, University of Oxford *The Technische Universität Dresden Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother*, Philip H. S. Torr

  2. Traditional Goal ceiling Wall • Object class segmentation • Assigning an object class label to each pixel Cabinet Chair Box Floor

  3. Our Goal ceiling: painted, textured Wall: Wood, Painted, textured • Segmentation with Objects and Attributes • Assigning an object class and a set of attribute labels to each pixel Cabinet: Glossy, shiny, Cube, plastic Chair: Wood Box:cube Floor : pavement, textured, dry, flat

  4. Hierarchical Multi-Label Factorial CRF Attributes Segmentation Input Image Object segmentation Grid CRF Fully-connected CRF Hierarchical Fully-connected CRF

  5. Hierarchical Joint Inference Picture Painted Wall Chair Floor Object Classes Segmentation Painted attribute segmentation Glossy Input Image Cotton Glossy attribute segmentation Cotton attribute segmentation

  6. Thank you! Posters P6 16:30-18:30, Thursday, June 26. http://www.robots.ox.ac.uk/~tvg/

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