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

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Showing 5376–5400 of 6439 papers

Title	Date	Tasks	Status
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis	May 31, 2023	Domain AdaptationFault Diagnosis	—Unverified
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems	Dec 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data	Sep 2, 2019	Domain AdaptationDomain Generalization	—Unverified
Domain-robust VQA with diverse datasets and methods but no target labels	Mar 29, 2021	Domain AdaptationObject Recognition	—Unverified
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation	Apr 14, 2023	Cancer ClassificationDomain Adaptation	—Unverified
Domain specialization: a post-training domain adaptation for Neural Machine Translation	Dec 19, 2016	Domain AdaptationMachine Translation	—Unverified
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation	Aug 27, 2023	DisentanglementDomain Adaptation	—Unverified
Domain-Specific Suppression for Adaptive Object Detection	May 8, 2021	Domain AdaptationObject	—Unverified
Domain-specific vs. Uniform Modeling for Coreference Resolution	May 1, 2012	coreference-resolutionCoreference Resolution	—Unverified
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation	Jul 24, 2018	Domain Adaptationobject-detection	—Unverified
Domain-Symmetric Networks for Adversarial Domain Adaptation	Apr 9, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Domain transfer through deep activation matching	Sep 1, 2018	Domain AdaptationGenerative Adversarial Network	—Unverified
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization	Mar 5, 2024	Domain AdaptationDomain Generalization	—Unverified
DomEx: Extraction of Sentiment Lexicons for Domains and Meta-Domains	Dec 1, 2012	Domain AdaptationPart-Of-Speech Tagging	—Unverified
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification	Jul 1, 2012	Domain AdaptationGeneral Classification	—Unverified
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation	Jul 25, 2019	Domain AdaptationSegmentation	—Unverified
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection	Jul 10, 2025	Domain AdaptationFew-Shot Learning	—Unverified
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining	Sep 30, 2024	Continual PretrainingDomain Adaptation	—Unverified
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data	Jun 1, 2022	De-identificationDomain Adaptation	—Unverified
Dramatically Reducing Training Data Size Through Vocabulary Saturation	Aug 1, 2013	Domain AdaptationMachine Translation	—Unverified
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation	Jan 30, 2021	BenchmarkingDomain Adaptation	—Unverified
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation	Nov 24, 2024	Autonomous DrivingDomain Adaptation	—Unverified
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)	Feb 9, 2017	Domain AdaptationEEG	—Unverified
DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving	Jan 9, 2025	Autonomous DrivingDomain Adaptation	—Unverified
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning	Sep 26, 2024	Domain AdaptationGPU	—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