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 4551–4575 of 6439 papers

Title	Date	Tasks	Status
Learning Agile Robotic Locomotion Skills by Imitating Animals	Apr 2, 2020	Domain AdaptationImitation Learning	—Unverified
Learning a Max-Margin Classifier for Cross-Domain Sentiment Analysis	Jan 1, 2021	Domain AdaptationMarketing	—Unverified
Learning and Deploying Robust Locomotion Policies with Minimal Dynamics Randomization	Sep 26, 2022	Deep Reinforcement LearningDomain Adaptation	—Unverified
Learning and Generalization with Mixture Data	Apr 29, 2025	Domain AdaptationFederated Learning	—Unverified
Learning an Invariant Hilbert Space for Domain Adaptation	Nov 25, 2016	Domain AdaptationRiemannian optimization	—Unverified
Learning a Phrase-based Translation Model from Monolingual Data with Application to Domain Adaptation	Aug 1, 2013	Domain AdaptationMachine Translation	—Unverified
Learning a POS tagger for AAVE-like language	Jun 1, 2016	Domain AdaptationPOS	—Unverified
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation	Jul 12, 2018	Domain AdaptationMotion Estimation	—Unverified
Learning Bounds for Domain Adaptation	Dec 1, 2007	Domain Adaptation	—Unverified
On generalization in moment-based domain adaptation	Feb 19, 2020	Domain AdaptationGeneralization Bounds	—Unverified
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy	Apr 2, 2023	Decision MakingDomain Adaptation	—Unverified
Learning by Ignoring, with Application to Domain Adaptation	Dec 28, 2020	BIG-bench Machine LearningDomain Adaptation	—Unverified
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation	Jul 9, 2021	Autonomous DrivingDomain Adaptation	—Unverified
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions	Jan 1, 2021	3D Pose Estimationcounterfactual	—Unverified
Learning causal representations for robust domain adaptation	Nov 12, 2020	Domain Adaptation	—Unverified
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation	Dec 16, 2022	Domain AdaptationUniversal Domain Adaptation	—Unverified
Learning Compositional Representations for Effective Low-Shot Generalization	Apr 17, 2022	AttributeDomain Adaptation	—Unverified
Learning Compositional Transferability of Time Series for Source-Free Domain Adaptation	Apr 21, 2025	Domain AdaptationSource-Free Domain Adaptation	—Unverified
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation	Mar 12, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation	Jun 1, 2016	Domain Adaptation	—Unverified
Learning Cross-domain Semantic-Visual Relationships for Transductive Zero-Shot Learning	Mar 31, 2020	Domain AdaptationZero-Shot Learning	—Unverified
Learning Cross-modal Contrastive Features for Video Domain Adaptation	Aug 26, 2021	Action RecognitionContrastive Learning	—Unverified
Learning Deep Features for Shape Correspondence with Domain Invariance	Feb 21, 2021	AnatomyDomain Adaptation	—Unverified
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach	Jul 16, 2019	Depth EstimationDepth Prediction	—Unverified
Learning Domain Adaptive Features with Unlabeled Domain Bridges	Dec 10, 2019	Domain AdaptationImage-to-Image Translation	—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