Domain Adaptation on MNIST-to-USPS

Metric: Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Sort:

#	Model↕	Accuracy▼	Augmentations	Paper	Date↕	Code
1	FACT	98.8	No	FACT: Federated Adversarial Cross Training	2023-06-01	Code
2	FAMCD	98.72	No	-	-	-
3	DFA-MCD	98.6	No	Discriminative Feature Alignment: Improving Tran...	2020-06-23	Code
4	Mean teacher	98.26	No	Self-ensembling for visual domain adaptation	2017-06-16	Code
5	DRANet	98.2	No	DRANet: Disentangling Representation and Adaptat...	2021-03-24	Code
6	SHOT	98	No	Do We Really Need to Access the Source Data? Sou...	2020-02-20	Code
7	DFA-ENT	97.9	No	Discriminative Feature Alignment: Improving Tran...	2020-06-23	Code
8	CyCleGAN (Light-weight Calibrator)	97.1	No	Light-weight Calibrator: a Separable Component f...	2019-11-28	Code
9	3CATN	96.1	No	Cycle-consistent Conditional Adversarial Transfe...	2019-09-17	Code
10	rRevGrad+CAT	96	No	Cluster Alignment with a Teacher for Unsupervise...	2019-03-24	Code
11	DeepJDOT	95.7	No	DeepJDOT: Deep Joint Distribution Optimal Transp...	2018-03-27	Code
12	SRDA (RAN)	94.76	No	Learning Smooth Representation for Unsupervised ...	2019-05-26	Code
13	MCD	93.8	No	Maximum Classifier Discrepancy for Unsupervised ...	2017-12-07	Code
14	ADDN	90.1	No	Adversarial Discriminative Domain Adaptation	2017-02-17	Code

#1FACTSOTA
98.8
Accuracy· 2023-06-01
FACT: Federated Adversarial Cross Training Code
#2FAMCD
98.72
Accuracy
No paper
#3DFA-MCDSOTA
98.6
Accuracy· 2020-06-23
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment Code
#4Mean teacherSOTA
98.26
Accuracy· 2017-06-16
Self-ensembling for visual domain adaptation Code
#5DRANet
98.2
Accuracy· 2021-03-24
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation Code
#6SHOT
98
Accuracy· 2020-02-20
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Code
#7DFA-ENT
97.9
Accuracy· 2020-06-23
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment Code
#8CyCleGAN (Light-weight Calibrator)
97.1
Accuracy· 2019-11-28
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation Code
#93CATN
96.1
Accuracy· 2019-09-17
Cycle-consistent Conditional Adversarial Transfer Networks Code
#10rRevGrad+CAT
96
Accuracy· 2019-03-24
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation Code
#11DeepJDOT
95.7
Accuracy· 2018-03-27
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation Code
#12SRDA (RAN)
94.76
Accuracy· 2019-05-26
Learning Smooth Representation for Unsupervised Domain Adaptation Code
#13MCD
93.8
Accuracy· 2017-12-07
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Code
#14ADDNSOTA
90.1
Accuracy· 2017-02-17
Adversarial Discriminative Domain Adaptation Code