Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2301–2325 of 6439 papers

Title	Date	Tasks	Status	Score
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator	Oct 4, 2024	Domain AdaptationDomain Generalization	CodeCode Available	5
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training	Sep 24, 2020	Domain AdaptationText Classification	CodeCode Available	5
Feature-Critic Networks for Heterogeneous Domain Generalization	Jan 31, 2019	Domain AdaptationDomain Generalization	CodeCode Available	5
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging	Jul 31, 2022	Domain Adaptation	CodeCode Available	5
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification Systems	Jul 1, 2022	Domain AdaptationFairness	CodeCode Available	5
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics	Mar 25, 2023	Domain AdaptationFairness	CodeCode Available	5
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM	Aug 19, 2017	Domain AdaptationInformation Retrieval	CodeCode Available	5
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation	Dec 31, 2020	Autonomous VehiclesDiversity	CodeCode Available	5
Domain Differential Adaptation for Neural Machine Translation	Oct 7, 2019	Domain AdaptationMachine Translation	CodeCode Available	5
FADE: Forecasting for Anomaly Detection on ECG	Feb 11, 2025	Anomaly DetectionDomain Adaptation	CodeCode Available	5
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning	Jun 21, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	5
Domain Consensus Clustering for Universal Domain Adaptation	Jun 5, 2021	ClusteringDomain Adaptation	CodeCode Available	5
Collaborative and Adversarial Network for Unsupervised Domain Adaptation	Jun 1, 2018	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
FAA-CLIP: Federated Adversarial Adaptation of CLIP	Feb 26, 2025	Domain AdaptationFederated Learning	CodeCode Available	5
Domain-Conditioned Transformer for Fully Test-time Adaptation	Oct 14, 2024	Domain AdaptationTest-time Adaptation	CodeCode Available	5
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation	Mar 3, 2024	Contrastive LearningDomain Adaptation	CodeCode Available	5
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation	Mar 2, 2022	Autonomous DrivingDomain Adaptation	CodeCode Available	5
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds	Apr 4, 2023	Autonomous DrivingDomain Adaptation	CodeCode Available	5
Domain Conditional Predictors for Domain Adaptation	Jun 25, 2021	Domain Adaptation	CodeCode Available	5
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation	Dec 15, 2022	Domain AdaptationRepresentation Learning	CodeCode Available	5
Extracting Relationships by Multi-Domain Matching	Dec 1, 2018	Domain AdaptationTime Series	CodeCode Available	5
Adversarial Feature Augmentation for Unsupervised Domain Adaptation	Nov 23, 2017	Data AugmentationDomain Adaptation	CodeCode Available	5
Fact Checking Beyond Training Set	Mar 27, 2024	Domain AdaptationFact Checking	CodeCode Available	5
Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation	Jul 14, 2025	Domain AdaptationFederated Learning	CodeCode Available	5
Exploring Object Relation in Mean Teacher for Cross-Domain Detection	Apr 25, 2019	Domain AdaptationRelation	CodeCode Available	5

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All datasets Office-31 SYNTHIA-to-Cityscapes GTA5 to Cityscapes Office-Home VisDA2017 ImageCLEF-DA Cityscapes to ACDC MNIST-to-USPS SVHN-to-MNIST USPS-to-MNIST SVNH-to-MNIST MoLane

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	FFTAT	Average Accuracy	96	—	Unverified
2	PMTrans	Average Accuracy	95.3	—	Unverified
3	CMKD	Average Accuracy	94.4	—	Unverified
4	SSRT-B (ours)	Average Accuracy	93.5	—	Unverified
5	CDTrans	Average Accuracy	92.6	—	Unverified
6	CoVi	Average Accuracy	91.8	—	Unverified
7	GSDE	Average Accuracy	91.7	—	Unverified
8	FixBi	Average Accuracy	91.4	—	Unverified
9	Contrastive Adaptation Network	Average Accuracy	90.6	—	Unverified
10	BIWAA	Average Accuracy	90.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HALO	mIoU	78.1	—	Unverified
2	ILM-ASSL	mIoU	76.6	—	Unverified
3	DCF	mIoU	69.3	—	Unverified
4	HRDA+PiPa	mIoU	68.2	—	Unverified
5	MIC	mIoU	67.3	—	Unverified
6	FREDOM - Transformer	mIoU	67	—	Unverified
7	HRDA	mIoU	65.8	—	Unverified
8	SePiCo	mIoU	64.3	—	Unverified
9	MIC + Guidance Training	mIoU	63.8	—	Unverified
10	DAFormer + ProCST	mIoU	61.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HALO	mIoU	77.8	—	Unverified
2	DCF	mIoU	77.7	—	Unverified
3	ILM-ASSL	mIoU	76.1	—	Unverified
4	MIC	mIoU	75.9	—	Unverified
5	HRDA+PiPa	mIoU	75.6	—	Unverified
6	HRDA	mIoU	73.8	—	Unverified
7	FREDOM - Transformer	mIoU	73.6	—	Unverified
8	HALO	mIoU	73.3	—	Unverified
9	SePiCo	mIoU	70.3	—	Unverified
10	DAFormer + ProCST	mIoU	69.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SWG	Accuracy	92.3	—	Unverified
2	RCL	Accuracy	90	—	Unverified
3	PGA (ViT-L/14)	Accuracy	89.4	—	Unverified
4	PMTrans	Accuracy	89	—	Unverified
5	CMKD	Accuracy	89	—	Unverified
6	MIC	Accuracy	86.2	—	Unverified
7	PGA (ViT-B/16)	Accuracy	85.1	—	Unverified
8	ELS	Accuracy	84.6	—	Unverified
9	SDAT (ViT-B/16)	Accuracy	84.3	—	Unverified
10	CDTrans (DeiT-B)	Accuracy	80.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FFTAT	Accuracy	93.8	—	Unverified
2	RCL	Accuracy	93.2	—	Unverified
3	MIC	Accuracy	92.8	—	Unverified
4	SWG	Accuracy	92.7	—	Unverified
5	CMKD	Accuracy	91.8	—	Unverified
6	DePT	Accuracy	90.7	—	Unverified
7	SDAT(ViT)	Accuracy	89.8	—	Unverified
8	SFDA2++	Accuracy	89.6	—	Unverified
9	PMtrans	Accuracy	88.8	—	Unverified
10	CoVi	Accuracy	88.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMKD	Accuracy	94.3	—	Unverified
2	MCC+NWD	Accuracy	90.7	—	Unverified
3	GLOT-DR	Accuracy	90.4	—	Unverified
4	SPL	Accuracy	90.3	—	Unverified
5	DFA-SAFN	Accuracy	90.2	—	Unverified
6	DADA	Accuracy	89.3	—	Unverified
7	DFA-ENT	Accuracy	89.1	—	Unverified
8	MEDM	Accuracy	88.9	—	Unverified
9	DDA	Accuracy	88.9	—	Unverified
10	IAFN+ENT	Accuracy	88.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SoRA	mIoU	78.8	—	Unverified
2	Rein	mIoU	77.6	—	Unverified
3	CoDA	mIoU	72.6	—	Unverified
4	Refign (HRDA)	mIoU	72.1	—	Unverified
5	HALO	mIoU	71.9	—	Unverified
6	MIC	mIoU	70.4	—	Unverified
7	HRDA	mIoU	68	—	Unverified
8	Refign (DAFormer)	mIoU	65.5	—	Unverified
9	VBLC (DAFormer)	mIoU	64.2	—	Unverified
10	CMFormer	mIoU	60.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FACT	Accuracy	98.8	—	Unverified
2	FAMCD	Accuracy	98.72	—	Unverified
3	DFA-MCD	Accuracy	98.6	—	Unverified
4	Mean teacher	Accuracy	98.26	—	Unverified
5	DRANet	Accuracy	98.2	—	Unverified
6	SHOT	Accuracy	98	—	Unverified
7	DFA-ENT	Accuracy	97.9	—	Unverified
8	CyCleGAN (Light-weight Calibrator)	Accuracy	97.1	—	Unverified