Mining Deep And-Or Object Structures via Cost-Sensitive Question-Answer-Based Active Annotations

13 Aug 2017 • Quanshi Zhang • Ying Nian Wu • Hao Zhang • Song-Chun Zhu

This paper presents a cost-sensitive active Question-Answering (QA) framework for learning a nine-layer And-Or graph (AOG) from web images. The AOG explicitly represents object categories, poses/viewpoints, parts, and detailed structures within the parts in a compositional hierarchy... (read more)

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