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Learning under Distributed Weak Supervision

Learning under Distributed Weak Supervision

3 June 2016
Martin Rajchl
M. J. Lee
Franklin Schrans
A. Davidson
Jonathan Passerat-Palmbach
G. Tarroni
A. Alansary
Ozan Oktay
Bernhard Kainz
Daniel Rueckert
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Papers citing "Learning under Distributed Weak Supervision"

10 / 10 papers shown
Title
A Survey on Deep Learning for Skin Lesion Segmentation
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
55
82
0
01 Jun 2022
Semi-supervised Identification and Mapping of Surface Water Extent using
  Street-level Monitoring Videos
Semi-supervised Identification and Mapping of Surface Water Extent using Street-level Monitoring Videos
Ruoqian Wang
Yang Ding
21
6
0
31 Jan 2022
Low Budget Active Learning via Wasserstein Distance: An Integer
  Programming Approach
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Rafid Mahmood
Sanja Fidler
M. Law
24
37
0
05 Jun 2021
Going to Extremes: Weakly Supervised Medical Image Segmentation
Going to Extremes: Weakly Supervised Medical Image Segmentation
H. Roth
Ke Wang
Ziyue Xu
Xiaosong Wang
Daguang Xu
21
60
0
25 Sep 2020
Color Recognition for Rubik's Cube Robot
Color Recognition for Rubik's Cube Robot
Sheng-lan Liu
Dong Jiang
Lin Feng
Feilong Wang
Zhanbo Feng
Xiang Liu
Shuai Guo
Bingjun Li
Yuchen Cong
25
4
0
11 Jan 2019
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
UQCV
MedIm
OOD
67
582
0
19 Jul 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
27
239
0
12 May 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
21
745
0
17 Apr 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
349
10,639
0
19 Feb 2017
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
19
375
0
25 May 2016
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