Volume Preserving Image Segmentation with Entropic Regularization
Optimal Transport and Its Applications in Deep Learning

Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning

22 September 2019

Jun Liu

Papers citing "Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning"

11 / 11 papers shown

Title
A Regularized Convolutional Neural Network for Semantic Image Segmentation Fan Jia Jun Liu X. Tai SSeg 20 35 0 28 Jun 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 85 13,005 0 07 Feb 2018
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost Nicolas Papadakis Julien Rabin OT 33 16 0 05 Oct 2016
An efficient iterative thresholding method for image segmentation Dong Wang Haohan Li Xiaoyu Wei Xiaoping Wang 20 180 0 04 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 642 15,718 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 875 76,547 0 18 May 2015
A Smoothed Dual Approach for Variational Wasserstein Problems Marco Cuturi Gabriel Peyré 29 175 0 09 Mar 2015
Convex Color Image Segmentation with Optimal Transport Distances Julien Rabin Nicolas Papadakis OT 32 62 0 06 Mar 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 240 2,947 0 15 Dec 2014
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 64 735 0 16 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 93 4,210 0 04 Jun 2013