Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and
Its Application to Exploring Cultural Heritage Objects

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Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects

7 November 2017

Yuhang Lu

Jun Chen

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Papers citing "Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects"

7 / 7 papers shown

Title
Identifying Designs from Incomplete, Fragmented Cultural Heritage Objects by Curve-Pattern Matching Jun Zhou Haozhou Yu Karen Smith Colin Wilder Hongkai Yu Song Wang 49 16 0 05 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 267 18,267 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 747 37,890 0 20 May 2016
Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs Wei Shen Kai Zhao Yuan Jiang Yan Wang Zhijiang Zhang X. Bai 47 104 0 31 Mar 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,819 0 02 Nov 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 137 3,495 0 24 Apr 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 245 2,536 0 11 Feb 2015

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