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 4951–4975 of 6439 papers

Title	Date	Tasks	Status
Data Augmentation and Resolution Enhancement using GANs and Diffusion Models for Tree Segmentation	May 21, 2025	Data AugmentationDomain Adaptation	—Unverified
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging	Aug 8, 2023	Data AugmentationDomain Adaptation	—Unverified
Data Augmentation for Spoken Language Understanding via Joint Variational Generation	Sep 7, 2018	Data AugmentationDomain Adaptation	—Unverified
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations	Nov 12, 2022	ArticlesDomain Adaptation	—Unverified
Data-Driven Offline Decision-Making via Invariant Representation Learning	Nov 21, 2022	Decision MakingDomain Adaptation	—Unverified
Data-driven Regularized Inference Privacy	Oct 10, 2020	Decision MakingDomain Adaptation	—Unverified
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation	Oct 21, 2024	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Data-Efficient Methods for Dialogue Systems	Dec 5, 2020	Anomaly DetectionData Augmentation	—Unverified
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation	Jul 5, 2019	Domain AdaptationImage Segmentation	—Unverified
Data-Free Knowledge Transfer: A Survey	Dec 31, 2021	Data-free Knowledge DistillationDomain Adaptation	—Unverified
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation	Oct 15, 2021	Domain AdaptationTranslation	—Unverified
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data	Jan 15, 2021	Adversarial RobustnessContinual Learning	—Unverified
Data point selection for genre-aware parsing	Jan 1, 2017	Dependency ParsingDomain Adaptation	—Unverified
Data Priming Network for Automatic Check-Out	Apr 10, 2019	Data AugmentationDomain Adaptation	—Unverified
Data Selection for IT Texts using Paragraph Vector	Aug 1, 2016	Domain AdaptationMachine Translation	—Unverified
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation	Jul 16, 2024	Dictionary LearningDomain Adaptation	—Unverified
Data Techniques For Online End-to-end Speech Recognition	Jan 24, 2020	Data AugmentationDomain Adaptation	—Unverified
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model	Nov 29, 2022	3D ReconstructionDiversity	—Unverified
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation	Oct 19, 2020	Domain AdaptationTime Series	—Unverified
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild	Apr 10, 2025	DiversityDomain Adaptation	—Unverified
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images	May 13, 2020	Domain AdaptationSemantic Segmentation	—Unverified
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights	Oct 2, 2024	document understandingDomain Adaptation	—Unverified
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation	May 21, 2021	Domain AdaptationSemantic Segmentation	—Unverified
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images	Oct 11, 2022	Domain AdaptationImage Super-Resolution	—Unverified
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight	Dec 5, 2022	Activity RecognitionDomain Adaptation	—Unverified

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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