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Learning Semantic Abstraction of Shape via 3D Region of Interest
This is in contrast to current methods, which focus solely on either 3D shape abstraction or semantic analysis.
Learning to Group and Label Fine-Grained Shape Components
We propose to generate part hypotheses from the components based on a hierarchical grouping strategy, and perform labeling on those part groups instead of directly on the components.
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