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Restyling Data: Application to Unsupervised Domain Adaptation

Restyling Data: Application to Unsupervised Domain Adaptation

24 September 2019
V. Gkitsas
Antonis Karakottas
N. Zioulis
D. Zarpalas
P. Daras
ArXivPDFHTML

Papers citing "Restyling Data: Application to Unsupervised Domain Adaptation"

12 / 12 papers shown
Title
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
N. Zioulis
Antonis Karakottas
D. Zarpalas
P. Daras
MDE
57
211
0
25 Jul 2018
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
90
192
0
16 Mar 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
110
1,535
0
28 Feb 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
127
2,992
0
08 Nov 2017
Matterport3D: Learning from RGB-D Data in Indoor Environments
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angel X. Chang
Angela Dai
Thomas Funkhouser
Maciej Halber
Matthias Nießner
Manolis Savva
Shuran Song
Andy Zeng
Yinda Zhang
3DV
3DPC
114
1,880
0
18 Sep 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
69
787
0
08 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
427
1,507
0
30 Nov 2016
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
62
1,235
0
28 Nov 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
151
2,344
0
30 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
189
11,135
0
14 Mar 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
345
9,418
0
28 May 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
154
8,309
0
06 Nov 2014
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