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 2376–2400 of 6439 papers

Title	Date	Tasks	Status
Few-shot time-series anomaly detection with unsupervised domain adaptation	Nov 1, 2023	Anomaly DetectionDomain Adaptation	—Unverified
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction	Oct 31, 2023	Domain AdaptationFew-Shot Learning	—Unverified
ChipNeMo: Domain-Adapted LLMs for Chip Design	Oct 31, 2023	ChatbotDomain Adaptation	—Unverified
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation	Oct 31, 2023	Active LearningDomain Adaptation	—Unverified
Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data	Oct 31, 2023	Data AugmentationDomain Adaptation	—Unverified
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation	Oct 31, 2023	Domain AdaptationDomain Generalization	—Unverified
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain	Oct 31, 2023	BenchmarkingDiagnostic	—Unverified
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection	Oct 30, 2023	Domain AdaptationDomain Generalization	—Unverified
Few-shot Hybrid Domain Adaptation of Image Generators	Oct 30, 2023	Domain AdaptationSemantic Similarity	CodeCode Available
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition	Oct 30, 2023	Autonomous VehiclesDomain Adaptation	—Unverified
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector	Oct 29, 2023	counterfactualDecision Making	—Unverified
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation	Oct 27, 2023	DenoisingDomain Adaptation	—Unverified
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer	Oct 26, 2023	Domain AdaptationRepresentation Learning	—Unverified
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models	Oct 25, 2023	Domain Adaptationimage-classification	—Unverified
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception	Oct 25, 2023	Autonomous DrivingDomain Adaptation	—Unverified
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering	Oct 25, 2023	Domain AdaptationExtractive Question-Answering	CodeCode Available
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement	Oct 25, 2023	Domain AdaptationPseudo Label	—Unverified
Deep Feature Registration for Unsupervised Domain Adaptation	Oct 24, 2023	Domain AdaptationPseudo Label	—Unverified
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports	Oct 24, 2023	Decision MakingDomain Adaptation	CodeCode Available
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning	Oct 24, 2023	Domain AdaptationRepresentation Learning	—Unverified
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework	Oct 24, 2023	Domain Adaptationobject-detection	—Unverified
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference	Oct 23, 2023	Anomaly DetectionDomain Adaptation	—Unverified
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP	Oct 23, 2023	Domain AdaptationUniversal Domain Adaptation	CodeCode Available
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards	Oct 23, 2023	Community Question AnsweringDomain Adaptation	CodeCode Available
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation	Oct 22, 2023	Domain AdaptationMRI segmentation	CodeCode Available

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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