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 76–100 of 6439 papers

Title	Date	Tasks	Status	Hype
A Closer Look at Smoothness in Domain Adversarial Training	Jun 16, 2022	Domain AdaptationObject Detection	CodeCode Available	1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection	Nov 30, 2021	3D Object DetectionDomain Adaptation	CodeCode Available	1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond	Jun 11, 2020	ClusteringDomain Adaptation	CodeCode Available	1
A Survey of World Models for Autonomous Driving	Jan 20, 2025	Anomaly DetectionAutonomous Driving	CodeCode Available	1
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models	Feb 20, 2025	Domain Adaptation	CodeCode Available	1
A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation	Aug 17, 2023	Domain AdaptationSelf-Supervised Learning	CodeCode Available	1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation	Jul 18, 2020	Domain AdaptationSemi-supervised Domain Adaptation	CodeCode Available	1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning	May 2, 2025	Crop Yield PredictionDomain Adaptation	CodeCode Available	1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation	Jun 8, 2021	Domain AdaptationSemi-supervised Domain Adaptation	CodeCode Available	1
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting	Jun 16, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Domain Adaptation of Neural Machine Translation by Lexicon Induction	Jun 2, 2019	Domain AdaptationMachine Translation	CodeCode Available	1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization	Jul 9, 2021	ClassificationDomain Adaptation	CodeCode Available	1
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs	Mar 17, 2019	Domain Adaptation	CodeCode Available	1
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models	Feb 27, 2022	Domain Adaptation	CodeCode Available	1
Audio-Adaptive Activity Recognition Across Video Domains	Mar 27, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	1
AnyStar: Domain randomized universal star-convex 3D instance segmentation	Jul 13, 2023	3D Instance SegmentationDomain Adaptation	CodeCode Available	1
A Broad Study of Pre-training for Domain Generalization and Adaptation	Mar 22, 2022	Domain AdaptationDomain Generalization	CodeCode Available	1
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance	Jul 14, 2022	Arrhythmia DetectionDictionary Learning	CodeCode Available	1
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference	Apr 18, 2017	BIG-bench Machine LearningDomain Adaptation	CodeCode Available	1
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis	Aug 6, 2024	Data AugmentationDomain Adaptation	CodeCode Available	1
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation	Jul 3, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1
A Prototype-Oriented Framework for Unsupervised Domain Adaptation	Oct 22, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration	Jul 18, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning	Aug 3, 2020	Cross-Domain Facial Expression RecognitionDomain Adaptation	CodeCode Available	1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes	Dec 24, 2018	Autonomous DrivingDomain Adaptation	CodeCode Available	1

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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