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 2476–2500 of 6439 papers

Title	Date	Tasks	Status
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow	Jan 31, 2024	Domain AdaptationIntrinsic Image Decomposition	—Unverified
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing	Jul 1, 2015	Automatic Post-EditingDomain Adaptation	—Unverified
Exploring the Quality of GAN Generated Images for Person Re-Identification	Aug 23, 2021	DiversityDomain Adaptation	—Unverified
Exploring Zero and Few-shot Techniques for Intent Classification	May 11, 2023	ClassificationData Augmentation	—Unverified
Corpus-based Interpretation of Instructions in Virtual Environments	Jul 1, 2012	Domain AdaptationText Generation	—Unverified
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models	Sep 18, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation	Aug 10, 2022	Action RecognitionDomain Adaptation	—Unverified
Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation	Aug 1, 2016	Domain AdaptationMachine Translation	—Unverified
Extracting and Selecting Relevant Corpora for Domain Adaptation in MT	Dec 1, 2014	Active LearningDomain Adaptation	—Unverified
Correlated Adversarial Joint Discrepancy Adaptation Network	May 18, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Extraction of Russian Sentiment Lexicon for Product Meta-Domain	Dec 1, 2012	Domain AdaptationSentiment Analysis	—Unverified
Co-regularized Alignment for Unsupervised Domain Adaptation	Nov 13, 2018	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images	Nov 1, 2019	ClassificationClassification Of Hyperspectral Images	—Unverified
Exploring Facial Expressions and Affective Domains for Parkinson Detection	Dec 11, 2020	Domain AdaptationFace Recognition	—Unverified
Co-regularization Based Semi-supervised Domain Adaptation	Dec 1, 2010	Domain AdaptationGeneralization Bounds	—Unverified
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach	Nov 29, 2018	Domain AdaptationFace Detection	—Unverified
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition	Mar 24, 2025	Domain AdaptationEEG	—Unverified
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example	Dec 29, 2016	Domain Adaptationvehicle detection	—Unverified
Fully Convolutional Adaptation Networks for Semantic Segmentation	Apr 23, 2018	Domain AdaptationSemantic Segmentation	—Unverified
Exploring Dropout Discriminator for Domain Adaptation	Jul 9, 2021	Domain Adaptation	—Unverified
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning	Nov 3, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation	Jan 1, 2022	Domain AdaptationPrivacy Preserving	—Unverified
Adversarial Robustness for Unsupervised Domain Adaptation	Sep 2, 2021	Adversarial RobustnessDomain Adaptation	—Unverified
Attention-Aware Age-Agnostic Visual Place Recognition	Sep 11, 2019	Domain AdaptationImage Retrieval	—Unverified
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training	Jan 23, 2025	DisentanglementDomain Adaptation	—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