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

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Showing 1476–1500 of 6439 papers

Title	Date	Tasks	Status
Active Universal Domain Adaptation	Jan 1, 2021	Active LearningDomain Adaptation	—Unverified
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity	Oct 22, 2021	Active LearningDomain Adaptation	—Unverified
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation	Dec 1, 2016	Domain AdaptationMachine Translation	—Unverified
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes	Jul 1, 2020	Document ClassificationDomain Adaptation	—Unverified
Analysing the Effect of Out-of-Domain Data on SMT Systems	Jun 1, 2012	Domain AdaptationLanguage Modelling	—Unverified
Active Source Free Domain Adaptation	May 22, 2022	Domain AdaptationSource-Free Domain Adaptation	—Unverified
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation	Sep 11, 2024	Domain AdaptationPoint Cloud Classification	—Unverified
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation	Feb 12, 2025	Domain AdaptationGraph Classification	—Unverified
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation	Dec 18, 2019	Domain AdaptationPosition	—Unverified
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application	Jan 28, 2025	Contrastive LearningDomain Adaptation	—Unverified
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems	Oct 26, 2020	Decision MakingDomain Adaptation	—Unverified
Active Sentiment Domain Adaptation	Jul 1, 2017	Active LearningDomain Adaptation	—Unverified
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification	Mar 1, 2022	ClusteringContrastive Learning	—Unverified
An Adaptive Descriptor Design for Object Recognition in the Wild	May 1, 2013	Domain AdaptationObject	—Unverified
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation	Feb 7, 2025	Bayesian InferenceDomain Adaptation	—Unverified
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation	Mar 23, 2020	Domain AdaptationManagement	—Unverified
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.	Nov 1, 2018	AllDomain Adaptation	—Unverified
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching	Apr 9, 2020	Domain AdaptationStereo Matching	—Unverified
Brain Tumor Segmentation on MRI with Missing Modalities	Apr 15, 2019	Brain Tumor SegmentationDomain Adaptation	—Unverified
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation	Jun 24, 2022	Domain AdaptationOnline unsupervised domain adaptation	—Unverified
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach	Dec 9, 2021	Domain AdaptationStereo Matching	—Unverified
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network	Sep 3, 2024	Domain AdaptationDomain Generalization	—Unverified
EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping	Feb 4, 2024	Domain AdaptationMemorization	—Unverified
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective	Feb 19, 2022	Domain AdaptationMetric Learning	—Unverified
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision	Aug 19, 2021	Domain AdaptationImage Segmentation	—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