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A Comprehensive Survey on Source-free Domain Adaptation

A Comprehensive Survey on Source-free Domain Adaptation

23 February 2023
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Jikang Cheng
    TTA
ArXiv (abs)PDFHTML

Papers citing "A Comprehensive Survey on Source-free Domain Adaptation"

50 / 155 papers shown
Title
Adaptive Ensembling: Unsupervised Domain Adaptation for Political
  Document Analysis
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
Shrey Desai
Barea M. Sinno
Alex Rosenfeld
Junyi Jessy Li
46
11
0
28 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
85
96
0
29 Sep 2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain
  Semantic Segmentation: A Non-Adversarial Approach
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
Qing Lian
Fengmao Lv
Lixin Duan
Boqing Gong
SSeg
68
226
0
26 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
154
531
0
06 Aug 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
182
2,412
0
13 Jun 2019
Episodic Memory in Lifelong Language Learning
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLLKELM
138
291
0
03 Jun 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Zero-shot Knowledge Transfer via Adversarial Belief Matching
P. Micaelli
Amos Storkey
65
230
0
23 May 2019
Zero-Shot Knowledge Distillation in Deep Networks
Zero-Shot Knowledge Distillation in Deep Networks
Gaurav Kumar Nayak
Konda Reddy Mopuri
Vaisakh Shaj
R. Venkatesh Babu
Anirban Chakraborty
75
245
0
20 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
167
3,035
0
06 May 2019
Active Adversarial Domain Adaptation
Active Adversarial Domain Adaptation
Jong-Chyi Su
Yi-Hsuan Tsai
Kihyuk Sohn
Buyu Liu
Subhransu Maji
Manmohan Chandraker
71
139
0
16 Apr 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
86
622
0
13 Apr 2019
Label Propagation for Deep Semi-supervised Learning
Label Propagation for Deep Semi-supervised Learning
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
108
624
0
09 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
102
581
0
06 Apr 2019
Data-Free Learning of Student Networks
Data-Free Learning of Student Networks
Hanting Chen
Yunhe Wang
Chang Xu
Zhaohui Yang
Chuanjian Liu
Boxin Shi
Chunjing Xu
Chao Xu
Qi Tian
FedML
68
372
0
02 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
144
543
0
10 Mar 2019
A Survey of Unsupervised Deep Domain Adaptation
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
162
818
0
06 Dec 2018
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjDOffRL
103
699
0
05 Dec 2018
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
145
1,812
0
04 Dec 2018
Deep clustering: On the link between discriminative models and K-means
Deep clustering: On the link between discriminative models and K-means
Mohammed Jabi
M. Pedersoli
A. Mitiche
Ismail Ben Ayed
66
109
0
09 Oct 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
90
1,902
0
15 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
356
10,369
0
10 Jul 2018
Modality Distillation with Multiple Stream Networks for Action
  Recognition
Modality Distillation with Multiple Stream Networks for Action Recognition
Nuno C. Garcia
Pietro Morerio
Vittorio Murino
86
184
0
19 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
185
3,472
0
05 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
137
2,485
0
12 Apr 2018
LSTD: A Low-Shot Transfer Detector for Object Detection
LSTD: A Low-Shot Transfer Detector for Object Detection
Hao Chen
Yali Wang
Guoyou Wang
Yu Qiao
ObjD
80
341
0
05 Mar 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
102
2,020
0
10 Feb 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
98
1,796
0
07 Dec 2017
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
147
3,008
0
08 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
316
9,815
0
25 Oct 2017
VisDA: The Visual Domain Adaptation Challenge
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
93
806
0
18 Oct 2017
SUBIC: A supervised, structured binary code for image search
SUBIC: A supervised, structured binary code for image search
Himalaya Jain
J. Zepeda
P. Pérez
Rémi Gribonval
MQ
79
82
0
09 Aug 2017
Zero-Shot Deep Domain Adaptation
Zero-Shot Deep Domain Adaptation
Kuan-Chuan Peng
Ziyan Wu
Jan Ernst
VLM
106
87
0
06 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
147
2,059
0
22 Jun 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
131
1,829
0
16 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
805
132,725
0
12 Jun 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and
  Relative Entropy Minimization
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
Kamran Ghasedi Dizaji
Amirhossein Herandi
Cheng Deng
Weidong (Tom) Cai
Heng-Chiao Huang
49
524
0
20 Apr 2017
Deep Photo Style Transfer
Deep Photo Style Transfer
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
GAN
102
688
0
22 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
186
4,378
0
20 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
362
4,721
0
15 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
273
4,675
0
17 Feb 2017
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OODGAN
100
1,626
0
24 Jun 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
101
2,461
0
21 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
262
10,273
0
27 Mar 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
99
1,492
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
2.3K
194,641
0
10 Dec 2015
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
89
746
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
9,524
0
28 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,745
0
09 Mar 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
469
43,357
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
228
5,215
0
10 Feb 2015
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