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Temporal coherence-based self-supervised learning for laparoscopic
  workflow analysis

Temporal coherence-based self-supervised learning for laparoscopic workflow analysis

18 June 2018
Isabel Funke
Alexander C. Jenke
S. T. Mees
Jürgen Weitz
Stefanie Speidel
S. Bodenstedt
ArXivPDFHTML

Papers citing "Temporal coherence-based self-supervised learning for laparoscopic workflow analysis"

9 / 9 papers shown
Title
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Kun Yuan
V. Srivastav
Tong Yu
Joël L. Lavanchy
Pietro Mascagni
Pietro Mascagni
N. Padoy
Nicolas Padoy
52
22
0
27 Jul 2023
Less is More: Surgical Phase Recognition with Less Annotations through
  Self-Supervised Pre-training of CNN-LSTM Networks
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
46
71
0
22 May 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
SSL
DRL
41
534
0
03 Aug 2017
Unsupervised temporal context learning using convolutional neural
  networks for laparoscopic workflow analysis
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
S. Bodenstedt
M. Wagner
Darko Katic
P. Mietkowski
Benjamin F. B. Mayer
H. Kenngott
Beat Müller-Stich
Rüdiger Dillmann
Stefanie Speidel
35
37
0
13 Feb 2017
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
203
849
0
09 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
866
192,638
0
10 Dec 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
53
143
0
15 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
290
149,474
0
22 Dec 2014
Unsupervised Learning of Spatiotemporally Coherent Metrics
Unsupervised Learning of Spatiotemporally Coherent Metrics
Ross Goroshin
Joan Bruna
Jonathan Tompson
David Eigen
Yann LeCun
DRL
57
157
0
18 Dec 2014
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