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Semi-Supervised Semantic Segmentation with High- and Low-level
  Consistency

Semi-Supervised Semantic Segmentation with High- and Low-level Consistency

15 August 2019
Sudhanshu Mittal
Maxim Tatarchenko
Thomas Brox
    SSL
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Papers citing "Semi-Supervised Semantic Segmentation with High- and Low-level Consistency"

10 / 60 papers shown
Title
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
87
61
0
27 Apr 2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation
A Closer Look at Self-training for Zero-Label Semantic Segmentation
Giuseppe Pastore
Fabio Cermelli
Yongqin Xian
Massimiliano Mancini
Zeynep Akata
Barbara Caputo
VLM
27
68
0
21 Apr 2021
The GIST and RIST of Iterative Self-Training for Semi-Supervised
  Segmentation
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
Eu Wern Teh
Terrance Devries
Brendan Duke
R. Jiang
P. Aarabi
Graham W. Taylor
VLM
31
8
0
31 Mar 2021
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on
  Neural Representation and Self-Supervision on Neural Eigenspace
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Zhiyi Pan
Peng-Tao Jiang
Yunhai Wang
Changhe Tu
Anthony G. Cohn
UQCV
20
38
0
19 Feb 2021
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSL
SSeg
30
174
0
13 Dec 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke
Di Qiu
Kaican Li
Qiong Yan
Rynson W. H. Lau
28
247
0
12 Aug 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
22
330
0
15 Jul 2020
Parting with Illusions about Deep Active Learning
Parting with Illusions about Deep Active Learning
Sudhanshu Mittal
Maxim Tatarchenko
Özgün Çiçek
Thomas Brox
VLM
19
59
0
11 Dec 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
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
232
740
0
28 Mar 2018
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