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Adversarial Feature Augmentation for Unsupervised Domain Adaptation
v1v2 (latest)

Adversarial Feature Augmentation for Unsupervised Domain Adaptation

23 November 2017
Riccardo Volpi
Pietro Morerio
Silvio Savarese
Vittorio Murino
    GANOOD
ArXiv (abs)PDFHTML

Papers citing "Adversarial Feature Augmentation for Unsupervised Domain Adaptation"

25 / 25 papers shown
Title
Solving Instance Detection from an Open-World Perspective
Solving Instance Detection from an Open-World Perspective
Qianqian Shen
Yunhan Zhao
Nahyun Kwon
Jeeeun Kim
Yanan Li
Shu Kong
108
1
0
01 Mar 2025
Associative Domain Adaptation
Associative Domain Adaptation
Philip Häusser
Thomas Frerix
A. Mordvintsev
Daniel Cremers
BDL
69
243
0
02 Aug 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
158
2,737
0
02 Mar 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
115
587
0
27 Feb 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
270
4,673
0
17 Feb 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OODGAN
161
1,537
0
16 Dec 2016
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GANOOD
91
1,003
0
07 Nov 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRLGAN
78
620
0
08 Oct 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GANVGen
193
1,470
0
08 Sep 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
112
1,452
0
22 Aug 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OODGAN
100
1,626
0
24 Jun 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
63
790
0
16 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
159
4,238
0
12 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
85
1,314
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
271
14,023
0
19 Nov 2015
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
GANOOD
390
9,515
0
28 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
223
5,211
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
174
2,605
0
10 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
262
10,425
0
06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
242
6,041
0
26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
127
1,561
0
22 Jul 2014
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