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 2276–2300 of 6439 papers

Title	Date	Tasks	Status
Automatically identifying implicit discourse relations using annotated data and raw corpora (Identification automatique des relations discursives « implicites » \`a partir de donn\'ees annot\'ees et de corpus bruts) [in French]	Jun 1, 2013	Domain Adaptation	—Unverified
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning	Apr 12, 2018	Dictionary LearningDomain Adaptation	—Unverified
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation	Nov 4, 2020	Domain Adaptation	—Unverified
Actions and Objects Pathways for Domain Adaptation in Video Question Answering	Nov 29, 2024	Domain AdaptationDomain Generalization	—Unverified
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network	Apr 22, 2021	Domain AdaptationLanguage Modeling	—Unverified
Cross-Domain Video Anomaly Detection without Target Domain Adaptation	Dec 14, 2022	Anomaly DetectionDomain Adaptation	—Unverified
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model	Feb 20, 2024	Domain AdaptationPseudo Label	—Unverified
Automatic 8-tissue Segmentation for 6-month Infant Brains	Aug 27, 2024	Domain AdaptationGenerative Adversarial Network	—Unverified
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction	Nov 9, 2024	Deep LearningDomain Adaptation	—Unverified
Automated Video Labelling: Identifying Faces by Corroborative Evidence	Feb 10, 2021	Domain AdaptationImage Retrieval	—Unverified
A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin	Nov 3, 2022	Domain Adaptationregression	—Unverified
Domain Adaptation for Code Model-based Unit Test Case Generation	Aug 15, 2023	Domain AdaptationLanguage Modelling	—Unverified
Prototypical Partial Optimal Transport for Universal Domain Adaptation	Aug 2, 2024	Domain AdaptationUniversal Domain Adaptation	—Unverified
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer	Jun 1, 2020	Domain AdaptationRelation	—Unverified
A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation	Nov 10, 2017	Domain AdaptationScene Segmentation	—Unverified
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning	May 16, 2018	Action RecognitionAtari Games	—Unverified
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation	Apr 24, 2025	Anomaly DetectionDomain Adaptation	—Unverified
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels	Mar 18, 2020	Domain AdaptationSelf-Supervised Learning	—Unverified
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data	Dec 10, 2020	Data AugmentationDomain Adaptation	—Unverified
Cross-domain Recommender Systems via Multimodal Domain Adaptation	Jun 24, 2023	Collaborative FilteringDomain Adaptation	—Unverified
Cross-domain Recommendation via Deep Domain Adaptation	Mar 8, 2018	Collaborative FilteringDenoising	—Unverified
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation	Aug 21, 2019	DecoderDomain Adaptation	—Unverified
Fast Domain Adaptation of SMT models without in-Domain Parallel Data	Aug 1, 2014	Domain AdaptationMachine Translation	—Unverified
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers	Dec 28, 2021	Domain AdaptationFault Diagnosis	—Unverified
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation	Oct 4, 2024	Domain AdaptationHallucination	—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