Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories

CVPR 2017 Ziad Al-HalahRainer Stiefelhagen

Attribute-based recognition models, due to their impressive performance and their ability to generalize well on novel categories, have been widely adopted for many computer vision applications. However, usually both the attribute vocabulary and the class-attribute associations have to be provided manually by domain experts or large number of annotators... (read more)

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