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 3526–3550 of 6439 papers

Title	Date	Tasks	Status
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance	Mar 7, 2022	Computed Tomography (CT)Domain Adaptation	—Unverified
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation	Mar 7, 2022	Domain AdaptationDomain Generalization	CodeCode Available
Open Set Domain Adaptation By Novel Class Discovery	Mar 7, 2022	Domain AdaptationNovel Class Discovery	—Unverified
Shift-Robust Node Classification via Graph Adversarial Clustering	Mar 7, 2022	ClassificationClustering	—Unverified
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions	Mar 7, 2022	2D Object DetectionAutonomous Driving	—Unverified
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation	Mar 7, 2022	Contrastive LearningDomain Adaptation	—Unverified
Maximizing Conditional Independence for Unsupervised Domain Adaptation	Mar 7, 2022	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Domain Adaptation with Factorizable Joint Shift	Mar 6, 2022	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning	Mar 4, 2022	Deep Reinforcement LearningDomain Adaptation	—Unverified
FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning	Mar 3, 2022	Domain AdaptationFew-Shot Learning	—Unverified
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks	Mar 3, 2022	Domain AdaptationGraph Learning	CodeCode Available
Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment	Mar 2, 2022	Domain AdaptationFault Diagnosis	—Unverified
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation	Mar 2, 2022	DiagnosticDomain Adaptation	—Unverified
Estimating Conditional Average Treatment Effects with Missing Treatment Information	Mar 2, 2022	Domain Adaptation	CodeCode Available
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation	Mar 2, 2022	Autonomous DrivingDomain Adaptation	CodeCode Available
Global-Local Regularization Via Distributional Robustness	Mar 1, 2022	Adversarial RobustnessDomain Adaptation	CodeCode Available
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices	Mar 1, 2022	Domain AdaptationPartial Domain Adaptation	—Unverified
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification	Mar 1, 2022	ClusteringContrastive Learning	—Unverified
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation	Feb 27, 2022	Domain AdaptationSemantic Similarity	—Unverified
Causal Domain Adaptation with Copula Entropy based Conditional Independence Test	Feb 27, 2022	Causal DiscoveryDomain Adaptation	CodeCode Available
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task	Feb 26, 2022	Domain AdaptationMachine Reading Comprehension	CodeCode Available
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems	Feb 25, 2022	Domain Adaptation	—Unverified
Towards Unsupervised Domain Adaptation via Domain-Transformer	Feb 24, 2022	Domain AdaptationGeneralization Bounds	—Unverified
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction	Feb 24, 2022	Domain AdaptationPrediction	—Unverified
Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech	Feb 24, 2022	Domain AdaptationForm	—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	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