A scalable active framework for region annotation in 3D shape collections

Abstract

Large repositories of 3D shapes provide valuable input for data-driven analysis and modeling tools. They are especially powerful once annotated with semantic information such as salient regions and functional parts. We propose a novel active learning method capable of enriching <i>massive</i> geometric datasets with <i>accurate</i> semantic region… (More)
DOI: 10.1145/2980179.2980238

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