Self-Parameterization Based Multi-Resolution Mesh Convolution Networks

Author:

Shi Hezi,Jiang Luo,Zheng Jianmin,Zeng Jun

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference49 articles.

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2. Simonyan K, Zisserman A. Very Deep Convolutional Networks for Large-Scale Image Recognition. In: International conference on learning representations. 2015.

3. He K, Zhang X, Ren S, Sun J. Deep Residual Learning for Image Recognition. In: 2016 IEEE conference on computer vision and pattern recognition. 2016, p. 770–8.

4. Noh H, Hong S, Han B. Learning deconvolution network for semantic segmentation. In: Proceedings of the IEEE international conference on computer vision. 2015, p. 1520–8.

5. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans Pattern Anal Mach Intell,2017

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