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 1701–1725 of 6439 papers

Title	Date	Tasks	Status	Score
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction	Mar 5, 2025	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Cartoon Face Recognition: A Benchmark Dataset	Jul 31, 2019	Domain AdaptationFace Detection	CodeCode Available	5
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments	Nov 26, 2018	Autonomous NavigationDomain Adaptation	CodeCode Available	5
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation	Jun 7, 2019	AttributeDomain Adaptation	CodeCode Available	5
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint Images	Aug 28, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Noise transfer for unsupervised domain adaptation of retinal OCT images	Sep 16, 2022	Domain AdaptationSemantic Segmentation	CodeCode Available	5
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation	Aug 31, 2017	Domain Adaptationnamed-entity-recognition	CodeCode Available	5
Autonomous Cross Domain Adaptation under Extreme Label Scarcity	Sep 4, 2022	ClusteringDeep Clustering	CodeCode Available	5
Cross-Region Building Counting in Satellite Imagery using Counting Consistency	Oct 26, 2021	Domain AdaptationManagement	CodeCode Available	5
Identifying Quantum Phase Transitions with Adversarial Neural Networks	Oct 11, 2017	Domain AdaptationFeature Engineering	CodeCode Available	5
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery	Aug 2, 2024	Binary ClassificationBrain Computer Interface	CodeCode Available	5
Automatic Online Multi-Source Domain Adaptation	Sep 5, 2021	DenoisingDomain Adaptation	CodeCode Available	5
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?	Aug 1, 2021	Domain AdaptationHallucination	CodeCode Available	5
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling	Sep 17, 2024	Anomaly DetectionDomain Adaptation	CodeCode Available	5
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation	May 17, 2021	Brain Tumor SegmentationDomain Adaptation	CodeCode Available	5
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation	Oct 7, 2016	Aesthetics Quality AssessmentDomain Adaptation	CodeCode Available	5
Improving land cover segmentation across satellites using domain adaptation	Nov 25, 2019	Domain AdaptationEarth Observation	CodeCode Available	5
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis	Jul 23, 2021	DiagnosticDomain Adaptation	CodeCode Available	5
Hierarchical Optimal Transport for Unsupervised Domain Adaptation	Dec 3, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors	Mar 10, 2025	Autonomous DrivingDomain Adaptation	CodeCode Available	5
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images	Mar 23, 2023	Domain AdaptationImage Quality Assessment	CodeCode Available	5
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity	May 5, 2022	Domain AdaptationRepresentation Learning	CodeCode Available	5
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification	Apr 26, 2018	ClassificationCross-Domain Text Classification	CodeCode Available	5
Cross-Lingual Vision-Language Navigation	Oct 24, 2019	Domain AdaptationNavigate	CodeCode Available	5
Hard Class Rectification for Domain Adaptation	Aug 8, 2020	Domain AdaptationSemi-supervised Domain Adaptation	CodeCode Available	5

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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