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 1626–1650 of 6439 papers

Title	Date	Tasks	Status	Hype
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation	Aug 5, 2023	Domain AdaptationMeta-Learning	—Unverified	0
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation	Aug 5, 2023	Domain AdaptationLIDAR Semantic Segmentation	—Unverified	0
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation	Aug 4, 2023	Domain Adaptationimage-classification	CodeCode Available	1
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification	Aug 4, 2023	Domain AdaptationMeta-Learning	—Unverified	0
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition	Aug 4, 2023	Cross-corpusDomain Adaptation	CodeCode Available	1
From Fake to Hyperpartisan News Detection Using Domain Adaptation	Aug 4, 2023	ClusteringContrastive Learning	—Unverified	0
Efficient Model Adaptation for Continual Learning at the Edge	Aug 3, 2023	AutoMLContinual Learning	—Unverified	0
Consistency Regularization for Generalizable Source-free Domain Adaptation	Aug 3, 2023	Domain AdaptationPseudo Label	—Unverified	0
Curriculum Guided Domain Adaptation in the Dark	Aug 2, 2023	Domain Adaptation	—Unverified	0
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather	Aug 2, 2023	Domain AdaptationTest-time Adaptation	CodeCode Available	0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization	Aug 2, 2023	3D Object DetectionDomain Adaptation	CodeCode Available	0
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities	Aug 1, 2023	DenoisingDomain Adaptation	—Unverified	0
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation	Aug 1, 2023	Data AugmentationDomain Adaptation	—Unverified	0
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos	Jul 31, 2023	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction	Jul 31, 2023	Domain AdaptationTransfer Learning	CodeCode Available	0
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training	Jul 31, 2023	Domain AdaptationImage Segmentation	CodeCode Available	0
Implicit Neural Representation in Medical Imaging: A Comparative Survey	Jul 30, 2023	Domain AdaptationImage Reconstruction	CodeCode Available	2
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science	Jul 30, 2023	Domain AdaptationQuestion Answering	—Unverified	0
Open-Set Domain Adaptation with Visual-Language Foundation Models	Jul 30, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation	Jul 29, 2023	Domain AdaptationSegmentation	CodeCode Available	1
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation	Jul 27, 2023	Domain AdaptationMedical Image Analysis	CodeCode Available	1
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation	Jul 27, 2023	Domain AdaptationGPU	CodeCode Available	1
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space	Jul 27, 2023	Dictionary LearningDomain Adaptation	CodeCode Available	0
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation	Jul 26, 2023	Domain AdaptationMulti-Source Unsupervised Domain Adaptation	—Unverified	0
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN	Jul 25, 2023	Domain AdaptationTransfer Learning	—Unverified	0

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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