Detecting and Recognizing Objects In Natural Images
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115 дней – 146 4140:40Опубликовано 24 июля 2007, 19:33
Google Tech Talks
March 9, 2007
ABSTRACT
This talk describes recent work of the UCLA Center for Image and Vision Science for learning to detect and recognize objects in natural images. This includes a real-time system for detecting text in unconstrained environments. Other examples include unsupervised learning of probabilistic grammars for detecting, recognizing, and segmenting objects. Credits: Speaker:Alan Yuille
March 9, 2007
ABSTRACT
This talk describes recent work of the UCLA Center for Image and Vision Science for learning to detect and recognize objects in natural images. This includes a real-time system for detecting text in unconstrained environments. Other examples include unsupervised learning of probabilistic grammars for detecting, recognizing, and segmenting objects. Credits: Speaker:Alan Yuille
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