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S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation

S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation

27 December 2018
Sinisa Stekovic
Friedrich Fraundorfer
Vincent Lepetit
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Papers citing "S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation"

2 / 2 papers shown
Title
Semi-supervised semantic segmentation needs strong, varied perturbations
Semi-supervised semantic segmentation needs strong, varied perturbations
Geoff French
S. Laine
Timo Aila
Michal Mackiewicz
G. Finlayson
23
29
0
05 Jun 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
199
243
0
14 Jun 2018
1