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Unsupervised Temporal Video Segmentation as an Auxiliary Task for
  Predicting the Remaining Surgery Duration

Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration

26 February 2020
Dominik Rivoir
S. Bodenstedt
F. Bechtolsheim
Marius Distler
Jürgen Weitz
Stefanie Speidel
ArXivPDFHTML

Papers citing "Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration"

8 / 8 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
63
22
0
27 Jul 2023
Unsupervised learning of action classes with continuous temporal
  embedding
Unsupervised learning of action classes with continuous temporal embedding
Anna Kukleva
Hilde Kuehne
Fadime Sener
Juergen Gall
47
107
0
08 Apr 2019
Temporal coherence-based self-supervised learning for laparoscopic
  workflow analysis
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
Isabel Funke
Alexander C. Jenke
S. T. Mees
Jürgen Weitz
Stefanie Speidel
S. Bodenstedt
36
44
0
18 Jun 2018
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
50
71
0
22 May 2018
Unsupervised Learning and Segmentation of Complex Activities from Video
Unsupervised Learning and Segmentation of Complex Activities from Video
Fadime Sener
Angela Yao
39
112
0
26 Mar 2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic
  Videos Without Manual Annotations
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
A. P. Twinanda
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
MedIm
87
98
0
09 Feb 2018
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
207
858
0
09 Feb 2016
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
68
143
0
15 Jun 2015
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