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Deep Residual Correction Network for Partial Domain Adaptation

Deep Residual Correction Network for Partial Domain Adaptation

10 April 2020
Shuang Li
Chi Harold Liu
Qiuxia Lin
Qi Wen
Limin Su
Gao Huang
Zhengming Ding
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Papers citing "Deep Residual Correction Network for Partial Domain Adaptation"

41 / 41 papers shown
Title
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Zi-Ming Wang
Nan Xue
Ling Lei
Rebecka Jörnsten
Gui-Song Xia
OOD
71
0
0
16 Sep 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
76
30,021
0
01 Mar 2022
Multi-Adversarial Domain Adaptation
Multi-Adversarial Domain Adaptation
Zhongyi Pei
Zhangjie Cao
Mingsheng Long
Jianmin Wang
OOD
TTA
39
857
0
04 Sep 2018
Partial Adversarial Domain Adaptation
Partial Adversarial Domain Adaptation
Zhangjie Cao
Li-jie Ma
Mingsheng Long
Jianmin Wang
56
433
0
10 Aug 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
80
476
0
16 Jun 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
77
105
0
17 Apr 2018
Importance Weighted Adversarial Nets for Partial Domain Adaptation
Importance Weighted Adversarial Nets for Partial Domain Adaptation
Jing Zhang
Zewei Ding
W. Li
P. Ogunbona
32
419
0
25 Mar 2018
Label Efficient Learning of Transferable Representations across Domains
  and Tasks
Label Efficient Learning of Transferable Representations across Domains and Tasks
Zelun Luo
Yuliang Zou
Judy Hoffman
Li Fei-Fei
52
275
0
30 Nov 2017
Fine-Grained Car Detection for Visual Census Estimation
Fine-Grained Car Detection for Visual Census Estimation
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Li Fei-Fei
95
117
0
07 Sep 2017
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation
  Approach
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
Timnit Gebru
Judy Hoffman
Li Fei-Fei
32
156
0
07 Sep 2017
Partial Transfer Learning with Selective Adversarial Networks
Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Michael I. Jordan
GAN
46
439
0
25 Jul 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
66
2,023
0
22 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
266
129,831
0
12 Jun 2017
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang
W. Li
P. Ogunbona
36
498
0
16 May 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
111
3,279
0
08 May 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
144
4,638
0
17 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
45
507
0
17 Feb 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
57
476
0
06 Jan 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
OOD
GAN
117
1,534
0
16 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
387
10,281
0
16 Nov 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
45
1,442
0
22 Aug 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
60
2,442
0
21 May 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
59
1,484
0
14 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
901
192,638
0
10 Dec 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features
Deep Manifold Traversal: Changing Labels with Convolutional Features
Jacob R. Gardner
P. Upchurch
Matt J. Kusner
Yixuan Li
Kilian Q. Weinberger
Kavita Bala
John E. Hopcroft
43
66
0
19 Nov 2015
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
44
1,831
0
17 Nov 2015
Scatter Component Analysis: A Unified Framework for Domain Adaptation
  and Domain Generalization
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Muhammad Ghifary
David Balduzzi
W. Kleijn
Mengjie Zhang
48
435
0
15 Oct 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
38
1,367
0
08 Oct 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
189
43,154
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
161
5,163
0
10 Feb 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OOD
GAN
76
844
0
10 Feb 2015
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
126
2,588
0
10 Dec 2014
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
67
8,309
0
06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
176
5,972
0
26 Sep 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
206
2,229
0
18 Sep 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
220
20,467
0
10 Sep 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
81
4,946
0
06 Oct 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
110
12,384
0
24 Jun 2012
Marginalized Denoising Autoencoders for Domain Adaptation
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen
Z. Xu
Kilian Q. Weinberger
Fei Sha
39
818
0
18 Jun 2012
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
81
7,711
0
02 Mar 2011
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
110
2,348
0
15 May 2008
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