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 4126–4150 of 6439 papers

Title	Date	Tasks	Status
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction	May 16, 2021	Domain AdaptationTerm Extraction	—Unverified
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer	May 16, 2021	Domain AdaptationMaterial Recognition	—Unverified
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty	May 11, 2021	Decision MakingDeep Reinforcement Learning	—Unverified
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label	May 11, 2021	Domain AdaptationPseudo Label	—Unverified
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge	May 9, 2021	Domain AdaptationSentiment Analysis	—Unverified
Aggregating From Multiple Target-Shifted Sources	May 9, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Domain-Specific Suppression for Adaptive Object Detection	May 8, 2021	Domain AdaptationObject	—Unverified
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation	May 7, 2021	ClusteringDomain Adaptation	—Unverified
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images	May 7, 2021	Domain AdaptationTransfer Learning	—Unverified
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation	May 6, 2021	AnatomyCoronary Artery Segmentation	—Unverified
Towards Novel Target Discovery Through Open-Set Domain Adaptation	May 6, 2021	AttributeDomain Adaptation	CodeCode Available
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation	May 5, 2021	Domain AdaptationPseudo Label	—Unverified
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation	May 5, 2021	Contrastive LearningDomain Adaptation	—Unverified
AI-enabled Efficient and Safe Food Supply Chain	May 1, 2021	ClusteringDomain Adaptation	—Unverified
Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation	Apr 30, 2021	Domain AdaptationSemantic Segmentation	CodeCode Available
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation	Apr 29, 2021	Domain AdaptationEnsemble Learning	CodeCode Available
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks	Apr 28, 2021	Domain AdaptationGenerative Adversarial Network	—Unverified
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery	Apr 28, 2021	Data AugmentationDomain Adaptation	—Unverified
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG	Apr 28, 2021	DiagnosticDomain Adaptation	—Unverified
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation	Apr 27, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Integration of Unpaired Single-cell Chromatin Accessibility and Gene Expression Data via Adversarial Learning	Apr 26, 2021	Data IntegrationDomain Adaptation	—Unverified
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains	Apr 23, 2021	Domain AdaptationPseudo Label	—Unverified
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network	Apr 22, 2021	Domain AdaptationLanguage Modeling	—Unverified
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning	Apr 22, 2021	Contrastive LearningDomain Adaptation	—Unverified
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View	Apr 22, 2021	3D Object DetectionDomain Adaptation	—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	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