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Time-based Self-supervised Learning for Wireless Capsule Endoscopy

Time-based Self-supervised Learning for Wireless Capsule Endoscopy

20 April 2022
Guillem Pascual
Pablo Laiz
A. García
Hagen Wenzek
Jordi Vitrià
Santi Seguí
ArXiv (abs)PDFHTML

Papers citing "Time-based Self-supervised Learning for Wireless Capsule Endoscopy"

19 / 19 papers shown
Title
Learning More for Free - A Multi Task Learning Approach for Improved
  Pathology Classification in Capsule Endoscopy
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Anuja Vats
Marius Pedersen
A. Mohammed
Ø. Hovde
36
7
0
30 Jun 2021
A self-supervised learning strategy for postoperative brain cavity
  segmentation simulating resections
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
Fernando Pérez-García
Reuben Dorent
M. Rizzi
F. Cardinale
V. Frazzini
...
I. Ollivier
Tom Vercauteren
Rachel Sparks
J. Duncan
Sébastien Ourselin
45
22
0
24 May 2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Fernando Navarro
Christopher Watanabe
Suprosanna Shit
Anjany Sekuboyina
J. Peeken
Stephanie E. Combs
Bjoern Menze
OOD
48
20
0
14 May 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
112
515
0
13 Jan 2021
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Kyunghyun Cho
SSL
67
104
0
31 Aug 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
137
1,626
0
15 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
WCE Polyp Detection with Triplet based Embeddings
WCE Polyp Detection with Triplet based Embeddings
Pablo Laiz
Jordi Vitrià
Hagen Wenzek
C. Malagelada
F. Azpiroz
Santi Seguí
MedIm
23
20
0
10 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances
Self-Supervised Learning of Video-Induced Visual Invariances
Michael Tschannen
Josip Djolonga
Marvin Ritter
Aravindh Mahendran
Xiaohua Zhai
N. Houlsby
Sylvain Gelly
Mario Lucic
SSL
103
61
0
05 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
103
1,453
0
04 Dec 2019
Learning Correspondence from the Cycle-Consistency of Time
Learning Correspondence from the Cycle-Consistency of Time
Xinyu Wang
Allan Jabri
Alexei A. Efros
SSL
83
490
0
18 Mar 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
320
10,302
0
10 Jul 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
74
751
0
17 Apr 2018
Unsupervised Representation Learning by Sorting Sequences
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee
Jia-Bin Huang
Maneesh Kumar Singh
Ming-Hsuan Yang
SSLDRL
72
534
0
03 Aug 2017
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
101
826
0
23 Apr 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSLVOSOCL
74
525
0
19 Dec 2016
Generic Feature Learning for Wireless Capsule Endoscopy Analysis
Generic Feature Learning for Wireless Capsule Endoscopy Analysis
Santi Seguí
M. Drozdzal
Guillem Pascual
Petia Radeva
C. Malagelada
F. Azpiroz
Jordi Vitrià
49
102
0
26 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
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