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 2701–2725 of 6439 papers

Title	Date	Tasks	Status
Domain Adaptation For Formant Estimation Using Deep Learning	Nov 6, 2016	Deep LearningDomain Adaptation	—Unverified
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal	Jun 2, 2021	Domain AdaptationFacial Expression Recognition	—Unverified
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios	Jun 25, 2025	Autonomous DrivingDecision Making	—Unverified
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling	Apr 19, 2021	Acoustic echo cancellationDomain Adaptation	—Unverified
Domain Adaptation for Enterprise Email Search	Jun 19, 2019	Domain AdaptationInformation Retrieval	—Unverified
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images	Sep 5, 2023	Domain AdaptationPrivacy Preserving	—Unverified
Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art	Dec 11, 2017	Domain AdaptationStyle Transfer	—Unverified
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework	Aug 18, 2021	Domain AdaptationMedical Image Analysis	—Unverified
A Deep Fusion Model for Domain Adaptation in Phrase-based MT	Dec 1, 2016	Domain AdaptationMachine Translation	—Unverified
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning	May 15, 2024	Domain Adaptation	—Unverified
Domain Adaptation for Disease Phrase Matching with Adversarial Networks	Jul 1, 2018	Domain AdaptationEntity Linking	—Unverified
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?	May 30, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images	Jul 17, 2018	Cancer ClassificationDomain Adaptation	—Unverified
Domain Adaptation for Dependency Parsing via Self-Training	Jul 1, 2015	Constituency ParsingDependency Parsing	—Unverified
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages	Jan 28, 2024	Domain Adaptation	—Unverified
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling	Dec 13, 2022	Domain AdaptationInformation Retrieval	—Unverified
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling	Mar 13, 2024	Conversational SearchDomain Adaptation	—Unverified
Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games	Jan 1, 2018	Deep Reinforcement LearningDomain Adaptation	—Unverified
Can Shadows Reveal Biometric Information?	Sep 21, 2022	Domain Adaptation	—Unverified
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification	May 16, 2018	Domain AdaptationLarge-Scale Person Re-Identification	—Unverified
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations	Oct 1, 2014	Chinese Word SegmentationDomain Adaptation	—Unverified
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach	Jul 1, 2012	coreference-resolutionCoreference Resolution	—Unverified
Can domain adaptation make object recognition work for everyone?	Apr 23, 2022	Domain AdaptationObject	—Unverified
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning	Aug 1, 2016	Authorship AttributionDimensionality Reduction	—Unverified
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation	Jul 6, 2023	Binary ClassificationDiagnostic	—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