most cited3D Shape Segmentation via Shape Fully Convolutional Networks

5 citations · 6 across the 2 of their papers we have counts for

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cs.CV2018★ 1 cited

VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification

Songle Chen, Lintao Zheng, Yan Zhang +2

Multi-view deep neural network is perhaps the most successful approach in 3D shape classification. However, the fusion of multi-view features based on max or average pooling lacks…

cs.CV2017★ 5 cited

3D Shape Segmentation via Shape Fully Convolutional Networks

Pengyu Wang, Yuan Gan, Panpan Shui +4

We desgin a novel fully convolutional network architecture for shapes, denoted by Shape Fully Convolutional Networks (SFCN). 3D shapes are represented as graph structures in the SF…