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Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
v1v2 (latest)

Mumford-Shah Loss Functional for Image Segmentation with Deep Learning

5 April 2019
Boah Kim
J. C. Ye
ArXiv (abs)PDFHTML

Papers citing "Mumford-Shah Loss Functional for Image Segmentation with Deep Learning"

19 / 19 papers shown
Title
Estimating Appearance Models for Image Segmentation via Tensor Factorization
Estimating Appearance Models for Image Segmentation via Tensor Factorization
J. F. R. Neto
130
0
0
16 Aug 2022
Unsupervised Segmentation of 3D Medical Images Based on Clustering and
  Deep Representation Learning
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning
Takayasu Moriya
H. Roth
S. Nakamura
H. Oda
Kai Nagara
M. Oda
K. Mori
37
52
0
11 Apr 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung
Yi-Hsuan Tsai
Yan-Ting Liou
Yen-Yu Lin
Ming-Hsuan Yang
GANSSeg
113
552
0
22 Feb 2018
W-Net: A Deep Model for Fully Unsupervised Image Segmentation
W-Net: A Deep Model for Fully Unsupervised Image Segmentation
Xide Xia
Brian Kulis
SSeg
45
254
0
22 Nov 2017
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
Trung T. Pham
Thanh-Toan Do
Niko Sünderhauf
Ian Reid
57
41
0
21 Sep 2017
Reformulating Level Sets as Deep Recurrent Neural Network Approach to
  Semantic Segmentation
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
Ngan Le
Kha Gia Quach
Khoa Luu
Marios Savvides
Chenchen Zhu
53
71
0
12 Apr 2017
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
MedIm
61
633
0
07 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
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
251
18,240
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
A Fully Convolutional Neural Network for Cardiac Segmentation in
  Short-Axis MRI
A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
Phi Vu Tran
42
314
0
02 Apr 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,446
0
23 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,802
0
02 Nov 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
113
338
0
16 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
232
4,178
0
17 May 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
188
1,045
0
05 Mar 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
103
918
0
09 Feb 2015
From Image-level to Pixel-level Labeling with Convolutional Networks
From Image-level to Pixel-level Labeling with Convolutional Networks
Pedro H. O. Pinheiro
R. Collobert
SSegVLM
72
53
0
23 Nov 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,452
0
20 Oct 2012
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