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Weakly supervised segmentation with cross-modality equivariant
  constraints

Weakly supervised segmentation with cross-modality equivariant constraints

6 April 2021
Gaurav Patel
Jose Dolz
    SSL
ArXivPDFHTML

Papers citing "Weakly supervised segmentation with cross-modality equivariant constraints"

50 / 56 papers shown
Title
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
90
974
0
10 Jun 2021
Self-Supervised Nuclei Segmentation in Histopathological Images Using
  Attention
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
M. Sahasrabudhe
Stergios Christodoulidis
R. Salgado
S. Michiels
S. Loi
Fabrice André
Nikos Paragios
Maria Vakalopoulou
44
64
0
16 Jul 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
72
551
0
18 Jun 2020
Bounding boxes for weakly supervised segmentation: Global constraints
  get close to full supervision
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
H. Kervadec
Jose Dolz
Shanshan Wang
Eric Granger
Ismail Ben Ayed
49
84
0
14 Apr 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
80
621
0
09 Apr 2020
Unpaired Multi-modal Segmentation via Knowledge Distillation
Unpaired Multi-modal Segmentation via Knowledge Distillation
Qi Dou
Quande Liu
Pheng Ann Heng
Ben Glocker
55
175
0
06 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
312
42,038
0
03 Dec 2019
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic
  Segmentation
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
55
20
0
09 Sep 2019
Discretely-constrained deep network for weakly supervised segmentation
Discretely-constrained deep network for weakly supervised segmentation
Jizong Peng
H. Kervadec
Jose Dolz
Ismail Ben Ayed
M. Pedersoli
Christian Desrosiers
39
31
0
15 Aug 2019
SCOPS: Self-Supervised Co-Part Segmentation
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung
Varun Jampani
Sifei Liu
Pavlo Molchanov
Ming-Hsuan Yang
Jan Kautz
66
139
0
03 May 2019
Curriculum semi-supervised segmentation
Curriculum semi-supervised segmentation
H. Kervadec
Jose Dolz
Eric Granger
Ismail Ben Ayed
50
81
0
10 Apr 2019
Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
50
380
0
28 Feb 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
89
850
0
25 Feb 2019
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
Abhijit Guha Roy
Shayan Siddiqui
Sebastian Polsterl
Nassir Navab
Christian Wachinger
88
185
0
04 Feb 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
109
1,623
0
05 Nov 2018
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common
  Object Features
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang
Shaodi You
Xi Li
Huimin Ma
62
302
0
12 Jun 2018
Constrained-CNN losses for weakly supervised segmentation
Constrained-CNN losses for weakly supervised segmentation
H. Kervadec
Jose Dolz
Meng Tang
Eric Granger
Yuri Boykov
Ismail Ben Ayed
62
239
0
12 May 2018
Adversarial Complementary Learning for Weakly Supervised Object
  Localization
Adversarial Complementary Learning for Weakly Supervised Object Localization
Xiaolin Zhang
Yunchao Wei
Jiashi Feng
Yi Yang
Thomas Huang
WSOL
120
571
0
19 Apr 2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image
  segmentation
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz
Karthik Gopinath
Jing Yuan
H. Lombaert
Christian Desrosiers
Ismail ben Ayed
3DH
53
433
0
09 Apr 2018
On Regularized Losses for Weakly-supervised CNN Segmentation
On Regularized Losses for Weakly-supervised CNN Segmentation
Meng Tang
Federico Perazzi
Abdelaziz Djelouah
Ismail Ben Ayed
Christopher Schroers
Yuri Boykov
49
294
0
26 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
210
3,272
0
21 Mar 2018
Learning to Segment via Cut-and-Paste
Learning to Segment via Cut-and-Paste
Tal Remez
Jonathan Huang
Matthew A. Brown
68
99
0
16 Mar 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
96
2,280
0
30 Oct 2017
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
69
631
0
25 Aug 2017
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang
P. David
Boqing Gong
SSeg
76
321
0
29 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
183
8,425
0
17 Jun 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
143
1,647
0
01 Jun 2017
Unsupervised learning of object landmarks by factorized spatial
  embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCL
SSL
43
162
0
05 May 2017
Instance-Level Salient Object Segmentation
Instance-Level Salient Object Segmentation
Guanbin Li
Yuan Xie
Liang Lin
Yizhou Yu
49
281
0
12 Apr 2017
Automatic segmentation of MR brain images with a convolutional neural
  network
Automatic segmentation of MR brain images with a convolutional neural network
P. Moeskops
M. Viergever
A. Mendrik
L. D. Vries
M. Benders
Ivana Išgum
44
784
0
11 Apr 2017
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
75
805
0
24 Mar 2017
Exploiting saliency for object segmentation from image level labels
Exploiting saliency for object segmentation from image level labels
Seong Joon Oh
Rodrigo Benenson
Anna Khoreva
Zeynep Akata
Mario Fritz
Bernt Schiele
SSeg
393
199
0
28 Jan 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia
Xingyi Huang
E. Chang
Yan Xu
61
218
0
03 Jan 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
108
2,561
0
12 Dec 2016
3D fully convolutional networks for subcortical segmentation in MRI: A
  large-scale study
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J. Dolz
Christian Desrosiers
Ismail Ben Ayed
3DV
55
364
0
12 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
59
667
0
29 Nov 2016
Deeply supervised salient object detection with short connections
Deeply supervised salient object detection with short connections
Qibin Hou
Ming-Ming Cheng
Xiao-Wei Hu
Ali Borji
Zhuowen Tu
Philip Torr
66
1,328
0
15 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
234
19,796
0
07 Oct 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
202
8,615
0
15 Jun 2016
DeepCut: Object Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl
M. J. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat-Palmbach
...
Mellisa Damodaram
Mary A. Rutherford
Joseph V. Hajnal
Bernhard Kainz
Daniel Rueckert
38
375
0
25 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
58
5,277
0
25 Apr 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
121
1,005
0
18 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
145
2,973
0
30 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
76
744
0
24 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
81
1,012
0
22 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
48
745
0
19 Mar 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
202
9,280
0
14 Dec 2015
Cross Modal Distillation for Supervision Transfer
Cross Modal Distillation for Supervision Transfer
Saurabh Gupta
Judy Hoffman
Jitendra Malik
101
535
0
02 Jul 2015
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
78
612
0
11 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
93
983
0
06 Jun 2015
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