A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections

17 Jul 2018 David George Xianguha Xie Yu-Kun Lai Gary KL Tam

High-level shape understanding and technique evaluation on large repositories of 3D shapes often benefit from additional information known about the shapes. One example of such information is the semantic segmentation of a shape into functional or meaningful parts... (read more)

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