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Exploiting Temporality for Semi-Supervised Video Segmentation

Exploiting Temporality for Semi-Supervised Video Segmentation

29 August 2019
Radu Sibechi
Olaf Booij
N. Baka
Peter Bloem
    VOS
ArXiv (abs)PDFHTML

Papers citing "Exploiting Temporality for Semi-Supervised Video Segmentation"

8 / 8 papers shown
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Yaoyan Zheng
Hongyu Yang
Di Huang
224
4
0
05 Mar 2024
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video
  Analytics
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video AnalyticsUSENIX Annual Technical Conference (USENIX ATC), 2022
Jinwoo Hwang
Minsu Kim
Daeun Kim
Seungho Nam
Yoonsung Kim
Dohee Kim
Hardik Sharma
Jongse Park
232
19
0
02 Jul 2022
Delta Distillation for Efficient Video Processing
Delta Distillation for Efficient Video ProcessingEuropean Conference on Computer Vision (ECCV), 2022
A. Habibian
H. Yahia
Davide Abati
E. Gavves
Fatih Porikli
230
14
0
17 Mar 2022
Temporally Constrained Neural Networks (TCNN): A framework for
  semi-supervised video semantic segmentation
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
Deepak Alapatt
Pietro Mascagni
Armine Vardazaryan
Alain Garcia
Nariaki Okamoto
Didier Mutter
J. Marescaux
Guido Costamagna
B. Dallemagne
N. Padoy
181
13
0
27 Dec 2021
Perceptual Consistency in Video Segmentation
Perceptual Consistency in Video SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Yizhe Zhang
Shubhankar Borse
Hong Cai
Ying Wang
N. Bi
Xiaoyun Jiang
Fatih Porikli
VOS
133
16
0
24 Oct 2021
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally
  Consistent Video Semantic Segmentation
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Yizhe Zhang
Shubhankar Borse
H. Cai
Fatih Porikli
VOSTTA
194
47
0
24 Oct 2021
Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic
  Surgery
Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery
Annika Brundyn
Jesse Swanson
Dong Wang
Doug Kondziolka
Eric Oermann
3DV
111
0
0
16 Sep 2021
Semi-Supervised Learning for Sparsely-Labeled Sequential Data:
  Application to Healthcare Video Processing
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video ProcessingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Florian Dubost
Erin Hong
Nandita Bhaskhar
Siyi Tang
D. Rubin
Christopher Lee-Messer
NoLa
234
0
0
28 Nov 2020
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