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Semi-supervised Domain Adaptation via Minimax Entropy

Semi-supervised Domain Adaptation via Minimax Entropy

13 April 2019
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
ArXivPDFHTML

Papers citing "Semi-supervised Domain Adaptation via Minimax Entropy"

27 / 77 papers shown
Title
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
16
105
0
11 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
38
9
0
05 Jun 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
39
170
0
27 May 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive
  Learning
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu
David Ferstl
S. Schulter
L. Zebedin
Pascal Fua
C. Leistner
92
38
0
22 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and
  Progressive Self-Training
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
Yoonhyung Kim
Changick Kim
11
8
0
01 Apr 2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Jiayi Tian
Jing Zhang
Wen Li
Dong Xu
TTA
8
93
0
26 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
23
104
0
23 Mar 2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with
  Reliable Transfer for Cardiac Segmentation
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Kang Li
Shujun Wang
Lequan Yu
Pheng-Ann Heng
60
28
0
07 Jan 2021
Deep Visual Domain Adaptation
Deep Visual Domain Adaptation
G. Csurka
OOD
130
185
0
28 Dec 2020
Invariant Feature Learning for Sensor-based Human Activity Recognition
Invariant Feature Learning for Sensor-based Human Activity Recognition
Yujiao Hao
Boyu Wang
Rong Zheng
11
20
0
14 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
R. He
Jiashi Feng
140
250
0
14 Dec 2020
Selective Pseudo-Labeling with Reinforcement Learning for
  Semi-Supervised Domain Adaptation
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
Bingyu Liu
Yuhong Guo
Jieping Ye
Weihong Deng
23
2
0
07 Dec 2020
Heuristic Domain Adaptation
Heuristic Domain Adaptation
Shuhao Cui
Xuan Jin
Shuhui Wang
Yuan He
Qingming Huang
19
49
0
30 Nov 2020
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal
  and Clustered Embeddings
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
OOD
8
44
0
25 Nov 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
95
124
0
16 Oct 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
26
262
0
01 Sep 2020
Entropy Guided Adversarial Model for Weakly Supervised Object
  Localization
Entropy Guided Adversarial Model for Weakly Supervised Object Localization
Sabrina Narimene Benassou
Wuzhen Shi
Feng Jiang
GAN
AAML
WSOL
11
5
0
04 Aug 2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
Ke Wu
31
28
0
19 Jul 2020
Tent: Fully Test-time Adaptation by Entropy Minimization
Tent: Fully Test-time Adaptation by Entropy Minimization
Dequan Wang
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
OOD
32
53
0
18 Jun 2020
Adversarial Weighting for Domain Adaptation in Regression
Adversarial Weighting for Domain Adaptation in Regression
Antoine de Mathelin
Guillaume Richard
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
30
45
0
15 Jun 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain
  Adaptation
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li
Timothy M. Hospedales
12
102
0
09 Apr 2020
Cross-domain Detection via Graph-induced Prototype Alignment
Cross-domain Detection via Graph-induced Prototype Alignment
Minghao Xu
Hang Wang
Bingbing Ni
Qi Tian
Wenjun Zhang
ObjD
OOD
6
238
0
28 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
15
1,205
0
20 Feb 2020
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
97
21
0
06 Feb 2020
A simple baseline for domain adaptation using rotation prediction
A simple baseline for domain adaptation using rotation prediction
Ajinkya Tejankar
Hamed Pirsiavash
SSL
20
5
0
26 Dec 2019
Reducing Domain Gap by Reducing Style Bias
Reducing Domain Gap by Reducing Style Bias
Hyeonseob Nam
HyunJae Lee
Jongchan Park
Wonjun Yoon
Donggeun Yoo
20
61
0
25 Oct 2019
Dynamic Scale Inference by Entropy Minimization
Dynamic Scale Inference by Entropy Minimization
Dequan Wang
Evan Shelhamer
Bruno A. Olshausen
Trevor Darrell
16
7
0
08 Aug 2019
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