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 1426–1450 of 6439 papers

Title	Date	Tasks	Status	Hype
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation	Oct 22, 2023	Domain AdaptationMRI segmentation	CodeCode Available	0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment	Oct 21, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	0
Towards Subject Agnostic Affective Emotion Recognition	Oct 20, 2023	Domain AdaptationEEG	—Unverified	0
Gradual Domain Adaptation: Theory and Algorithms	Oct 20, 2023	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis	Oct 20, 2023	Domain AdaptationFault Diagnosis	—Unverified	0
Neural domain alignment for spoken language recognition based on optimal transport	Oct 20, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation	Oct 18, 2023	Domain AdaptationFew-Shot Relation Classification	CodeCode Available	0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation	Oct 18, 2023	Domain AdaptationImage Segmentation	—Unverified	0
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation	Oct 18, 2023	Domain AdaptationPartial Domain Adaptation	—Unverified	0
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation	Oct 17, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing	Oct 17, 2023	3D Object DetectionDomain Adaptation	CodeCode Available	1
Correction Focused Language Model Training for Speech Recognition	Oct 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing Data	Oct 16, 2023	Domain AdaptationSemantic Segmentation	CodeCode Available	0
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation	Oct 16, 2023	Domain AdaptationModel Selection	—Unverified	0
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning	Oct 16, 2023	Domain AdaptationMedical Question Answering	CodeCode Available	1
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction	Oct 16, 2023	Domain AdaptationEvent Extraction	—Unverified	0
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model	Oct 16, 2023	Domain AdaptationPrompt Learning	—Unverified	0
Unsupervised Domain Adaption for Neural Information Retrieval	Oct 13, 2023	Domain AdaptationInformation Retrieval	—Unverified	0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds	Oct 13, 2023	Domain AdaptationGeneral Knowledge	—Unverified	0
Towards Example-Based NMT with Multi-Levenshtein Transformers	Oct 13, 2023	Domain AdaptationImitation Learning	CodeCode Available	0
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation	Oct 13, 2023	Domain AdaptationSelf-Supervised Learning	CodeCode Available	0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation	Oct 12, 2023	Decision MakingDomain Adaptation	—Unverified	0
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception	Oct 12, 2023	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation	Oct 11, 2023	Domain AdaptationRepresentation Learning	CodeCode Available	0
Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation	Oct 11, 2023	Domain AdaptationObject	—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