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 5076–5100 of 6439 papers

Title	Date	Tasks	Status
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo	Mar 3, 2024	Domain AdaptationModel Selection	—Unverified
On The Relationship between Visual Anomaly-free and Anomalous Representations	Oct 9, 2024	Anomaly DetectionDomain Adaptation	—Unverified
On the Robustness of Domain Adaption to Adversarial Attacks	Aug 4, 2021	Adversarial AttackDomain Adaptation	—Unverified
On Unsupervised Uncertainty-Driven Speech Pseudo-Label Filtering and Model Calibration	Nov 14, 2022	Domain AdaptationPseudo Label	—Unverified
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation	Sep 28, 2023	Domain AdaptationImage Segmentation	—Unverified
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation	May 30, 2024	3D Instance Segmentation3D Open-Vocabulary Instance Segmentation	—Unverified
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping	Oct 19, 2022	Domain AdaptationNeural Architecture Search	—Unverified
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation	Sep 24, 2022	DiversityDomain Adaptation	—Unverified
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation	Nov 11, 2019	Domain AdaptationQuestion Answering	—Unverified
Open Set Dandelion Network for IoT Intrusion Detection	Nov 19, 2023	Domain AdaptationIntrusion Detection	—Unverified
Open Set Domain Adaptation	Oct 1, 2017	Domain Adaptation	—Unverified
Open Set Domain Adaptation by Extreme Value Theory	Dec 22, 2020	Domain Adaptation	—Unverified
Open Set Domain Adaptation By Novel Class Discovery	Mar 7, 2022	Domain AdaptationNovel Class Discovery	—Unverified
Open Set Domain Adaptation using Optimal Transport	Oct 2, 2020	Domain Adaptation	—Unverified
Open Set Domain Adaptation with Vision-language models via Gradient-aware Separation	May 16, 2025	Domain Adaptation	—Unverified
Open-Set Domain Adaptation with Visual-Language Foundation Models	Jul 30, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Open Set Domain Adaptation with Zero-shot Learning on Graph	Sep 29, 2021	Domain AdaptationZero-Shot Learning	—Unverified
Open-Set Hypothesis Transfer with Semantic Consistency	Oct 1, 2020	Domain Adaptation	—Unverified
Open-Set Multi-Source Multi-Target Domain Adaptation	Feb 2, 2023	Domain AdaptationGraph Attention	—Unverified
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction	May 16, 2021	Domain AdaptationTerm Extraction	—Unverified
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction	May 1, 2022	Domain AdaptationTerm Extraction	—Unverified
Opinions Summarization: Aspect Similarity Recognition Relaxes The Constraint of Predefined Aspects	Sep 1, 2019	Domain AdaptationExtractive Summarization	—Unverified
Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications	Apr 17, 2024	Change DetectionDenoising	—Unverified
Optimal Bayesian Transfer Learning	Jan 2, 2018	Domain AdaptationTransfer Learning	—Unverified
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning	Jul 25, 2022	Domain AdaptationOptical Character Recognition (OCR)	—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