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 126–150 of 6439 papers

Title	Date	Tasks	Status	Hype
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation	Jan 1, 2023	Domain AdaptationSemantic Segmentation	CodeCode Available	1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning	May 12, 2018	Autonomous DrivingDiversity	CodeCode Available	1
Zero-Shot Compositional Policy Learning via Language Grounding	Apr 15, 2020	DescriptiveDomain Adaptation	CodeCode Available	1
Automated Synthetic-to-Real Generalization	Jul 14, 2020	Domain Adaptation	CodeCode Available	1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement	Mar 10, 2022	3D Object DetectionDiversity	CodeCode Available	1
Adaptive-Attentive Geolocalization from few queries: a hybrid approach	Oct 14, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation	Mar 5, 2020	Domain AdaptationPartial Domain Adaptation	CodeCode Available	1
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation	Apr 3, 2023	Action RecognitionDomain Adaptation	CodeCode Available	1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval	Apr 18, 2021	BIG-bench Machine LearningDomain Adaptation	CodeCode Available	1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation	Jul 25, 2022	Domain AdaptationPseudo Label	CodeCode Available	1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP	Jun 12, 2025	DecoderDomain Adaptation	CodeCode Available	1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding	May 23, 2021	document understandingDomain Adaptation	CodeCode Available	1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection	Nov 30, 2021	3D Object DetectionDomain 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
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond	Jun 11, 2020	ClusteringDomain Adaptation	CodeCode Available	1
Active Learning for Domain Adaptation: An Energy-Based Approach	Dec 2, 2021	Active LearningDomain Adaptation	CodeCode Available	1
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training	Aug 5, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	1
A Survey of World Models for Autonomous Driving	Jan 20, 2025	Anomaly DetectionAutonomous Driving	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 Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting	Jun 16, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge	Jun 1, 2020	Active LearningDomain 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
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings	Oct 16, 2020	Active LearningClustering	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
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models	Feb 20, 2025	Domain 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	CMKD	Accuracy	89	—	Unverified
5	PMTrans	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	DDA	Accuracy	88.9	—	Unverified
9	MEDM	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