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 3976–4000 of 6439 papers

Title	Date	Tasks	Status
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate	Jul 28, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis	Jul 28, 2021	Domain Adaptation	—Unverified
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation	Jul 28, 2021	Age EstimationDomain Adaptation	—Unverified
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs	Jul 27, 2021	Domain Adaptationimage-classification	—Unverified
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach	Jul 27, 2021	Cultural Vocal Bursts Intensity PredictionData Augmentation	—Unverified
A Joint and Domain-Adaptive Approach to Spoken Language Understanding	Jul 25, 2021	Domain AdaptationIntent Detection	—Unverified
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis	Jul 23, 2021	DiagnosticDomain Adaptation	CodeCode Available
Emotion analysis and detection during COVID-19	Jul 23, 2021	Domain AdaptationEmotion Recognition	—Unverified
MCDAL: Maximum Classifier Discrepancy for Active Learning	Jul 23, 2021	Active LearningClassification	CodeCode Available
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks	Jul 23, 2021	Domain Adaptationimage-classification	—Unverified
Unsupervised Domain Adaptation for Video Semantic Segmentation	Jul 23, 2021	Domain AdaptationSemantic Segmentation	—Unverified
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation	Jul 21, 2021	Domain AdaptationSegmentation	—Unverified
Domain Adaptation without Model Transferring	Jul 21, 2021	Domain Adaptationmodel	—Unverified
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction	Jul 20, 2021	Diabetic Retinopathy GradingDomain Adaptation	—Unverified
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling	Jul 20, 2021	Cell SegmentationDomain Adaptation	—Unverified
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters	Jul 20, 2021	Domain AdaptationLIDAR Semantic Segmentation	—Unverified
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap	Jul 19, 2021	Cell DetectionDomain Adaptation	CodeCode Available
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation	Jul 18, 2021	AnatomyComputed Tomography (CT)	CodeCode Available
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets	Jul 16, 2021	Data AugmentationDomain Adaptation	—Unverified
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation	Jul 16, 2021	Domain AdaptationDomain Generalization	—Unverified
Zero-Round Active Learning	Jul 14, 2021	Active LearningDomain Adaptation	—Unverified
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation	Jul 14, 2021	Domain AdaptationSource-Free Domain Adaptation	—Unverified
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data	Jul 14, 2021	Domain AdaptationPrivacy Preserving	—Unverified
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation	Jul 13, 2021	Domain AdaptationDomain Generalization	—Unverified
Model Transferability With Responsive Decision Subjects	Jul 13, 2021	BIG-bench Machine LearningDomain Adaptation	CodeCode Available

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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