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 276–300 of 6439 papers

Title	Date	Tasks	Status	Hype	Score
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning	Mar 26, 2024	Domain AdaptationSemantic Segmentation	CodeCode Available	1	5
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences	Sep 24, 2020	Data AugmentationDomain Adaptation	CodeCode Available	1	5
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search	Nov 3, 2020	Domain AdaptationFew-Shot Learning	CodeCode Available	1	5
A Prototype-Oriented Framework for Unsupervised Domain Adaptation	Oct 22, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1	5
DANE: Domain Adaptive Network Embedding	Jun 3, 2019	Domain AdaptationGRAPH DOMAIN ADAPTATION	CodeCode Available	1	5
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation	Mar 16, 2023	Domain Adaptationimage-classification	CodeCode Available	1	5
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition	Oct 11, 2022	Cross-Domain Facial Expression RecognitionDomain Adaptation	CodeCode Available	1	5
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition	Jul 20, 2022	3D Action RecognitionAction Recognition	CodeCode Available	1	5
Domain Adaptation with Auxiliary Target Domain-Oriented Classifier	Jul 8, 2020	Domain AdaptationTransfer Learning	CodeCode Available	1	5
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration	Apr 14, 2021	AnatomyDiagnostic	CodeCode Available	1	5
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training	Jul 9, 2021	Automatic Sleep Stage ClassificationDomain Adaptation	CodeCode Available	1	5
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation	Jul 10, 2021	AnatomyDomain Adaptation	CodeCode Available	1	5
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?	Nov 17, 2019	Data SummarizationDomain Adaptation	CodeCode Available	1	5
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection	Apr 1, 2022	Change DetectionChange detection for remote sensing images	CodeCode Available	1	5
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration	Jul 18, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1	5
Anatomy-guided domain adaptation for 3D in-bed human pose estimation	Nov 22, 2022	3D Human Pose EstimationAnatomy	CodeCode Available	1	5
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation	Jul 29, 2023	Domain AdaptationSegmentation	CodeCode Available	1	5
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking	Dec 14, 2020	Active LearningContrastive Learning	CodeCode Available	1	5
Adversarial-Learned Loss for Domain Adaptation	Jan 4, 2020	Domain AdaptationPseudo Label	CodeCode Available	1	5
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling	Mar 16, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning	Dec 6, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Cloud Object Detector Adaptation by Integrating Different Source Knowledge	Dec 10, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	1	5
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation	Jul 3, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1	5
If your data distribution shifts, use self-learning	Apr 27, 2021	Domain AdaptationRobust classification	CodeCode Available	1	5
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training	Oct 3, 2022	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	1	5

Show:10 25 50

← PrevPage 12 of 258Next →

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