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 3026–3050 of 6439 papers

Title	Date	Tasks	Status
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization	Dec 10, 2020	Domain AdaptationSound Source Localization	—Unverified
A Survey on Deep Domain Adaptation for LiDAR Perception	Jun 4, 2021	Domain AdaptationSurvey	—Unverified
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs	Nov 17, 2024	Domain AdaptationGraph Learning	—Unverified
Adversarial Learning for Zero-shot Domain Adaptation	Sep 11, 2020	Domain Adaptation	—Unverified
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation	Jul 16, 2024	Dictionary LearningDomain Adaptation	—Unverified
ISTRBoost: Importance Sampling Transfer Regression using Boosting	Apr 26, 2022	Domain Adaptationregression	—Unverified
Implicit Bayes Adaptation: A Collaborative Transport Approach	Apr 17, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Ensemble Multi-Source Domain Adaptation with Pseudolabels	Sep 29, 2020	Domain AdaptationEnsemble Learning	—Unverified
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions	Jun 6, 2024	Anomaly DetectionDomain Adaptation	—Unverified
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models	Dec 9, 2018	Domain AdaptationDomain Generalization	—Unverified
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation	Dec 1, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Importance Weighted Adversarial Nets for Partial Domain Adaptation	Mar 25, 2018	Domain AdaptationPartial Domain Adaptation	—Unverified
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation	Sep 12, 2023	Domain AdaptationImage Segmentation	—Unverified
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets	Jul 16, 2021	Data AugmentationDomain Adaptation	—Unverified
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation	Feb 19, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation	Sep 2, 2019	Autonomous DrivingDomain Adaptation	—Unverified
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training	Jul 9, 2021	Domain Adaptation	—Unverified
Improved Factorized Neural Transducer Model For text-only Domain Adaptation	Sep 18, 2023	DecoderDomain Adaptation	—Unverified
Improved Generalization of Arabic Text Classifiers	Aug 1, 2019	Domain AdaptationTransfer Learning	—Unverified
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy	Jan 1, 2023	Domain AdaptationSemi-supervised Domain Adaptation	—Unverified
Improved Multi-Source Domain Adaptation by Preservation of Factors	Oct 15, 2020	Domain Adaptationimage-classification	—Unverified
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation	Dec 5, 2024	Contrastive LearningDomain Adaptation	—Unverified
Enhancing Visual Domain Adaptation with Source Preparation	Jun 16, 2023	Domain Adaptationobject-detection	—Unverified
Frustratingly Easy Uncertainty Estimation for Distribution Shift	Jun 7, 2021	Domain Adaptationimage-classification	—Unverified
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods	Dec 1, 2024	Domain AdaptationLesion Classification	—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