TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/ijcv/ShottonWRC09
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2009
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TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.
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Image understanding; Object recognition; Segmentation; Texture; Layout; Context; Textons; Conditional random field; Boosting; Semantic image segmentation; Piecewise training
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TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.
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