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 2051–2075 of 6439 papers

Title	Date	Tasks	Status	Hype
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving	Feb 8, 2023	Autonomous DrivingDomain Adaptation	—Unverified	0
UDApter -- Efficient Domain Adaptation Using Adapters	Feb 7, 2023	Domain AdaptationLanguage Modeling	CodeCode Available	1
Domain Adaptation for Time Series Under Feature and Label Shifts	Feb 6, 2023	Domain AdaptationTime Series	CodeCode Available	1
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation	Feb 6, 2023	Domain Adaptation	CodeCode Available	1
RLSbench: Domain Adaptation Under Relaxed Label Shift	Feb 6, 2023	Domain Adaptation	CodeCode Available	1
Domain Re-Modulation for Few-Shot Generative Domain Adaptation	Feb 6, 2023	Domain Adaptation	CodeCode Available	1
Semi-Supervised Domain Adaptation with Source Label Adaptation	Feb 5, 2023	Domain AdaptationPseudo Label	CodeCode Available	1
Domain Adaptation via Rebalanced Sub-domain Alignment	Feb 3, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation	Feb 3, 2023	Blended-target Domain AdaptationDomain Adaptation	CodeCode Available	0
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction	Feb 3, 2023	Domain AdaptationManagement	—Unverified	0
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection	Feb 3, 2023	Anomaly DetectionDomain Adaptation	CodeCode Available	1
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation	Feb 3, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Interpretations of Domain Adaptations via Layer Variational Analysis	Feb 3, 2023	Domain AdaptationTransfer Learning	CodeCode Available	0
Efficient Domain Adaptation for Speech Foundation Models	Feb 3, 2023	DecoderDomain Adaptation	—Unverified	0
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains	Feb 2, 2023	Continual LearningDomain Adaptation	—Unverified	0
Open-Set Multi-Source Multi-Target Domain Adaptation	Feb 2, 2023	Domain AdaptationGraph Attention	—Unverified	0
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes	Feb 1, 2023	DiversityDomain Adaptation	—Unverified	0
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases	Feb 1, 2023	ArticlesDomain Adaptation	—Unverified	0
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets	Jan 31, 2023	Domain AdaptationFairness	—Unverified	0
Learning Data Representations with Joint Diffusion Models	Jan 31, 2023	counterfactualDomain Adaptation	CodeCode Available	1
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition	Jan 31, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation	Jan 31, 2023	Active LearningDomain Adaptation	CodeCode Available	1
Lidar Upsampling with Sliced Wasserstein Distance	Jan 31, 2023	Autonomous DrivingDomain Adaptation	—Unverified	0
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation	Jan 31, 2023	ClusteringContrastive Learning	CodeCode Available	0
When Source-Free Domain Adaptation Meets Learning with Noisy Labels	Jan 31, 2023	Domain AdaptationLearning with noisy labels	—Unverified	0

Show:10 25 50

← PrevPage 83 of 258Next →

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