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 1651–1675 of 6439 papers

Title	Date	Tasks	Status	Hype
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction	Jul 24, 2023	Action RecognitionDomain Adaptation	—Unverified	0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation	Jul 24, 2023	Domain AdaptationImage Segmentation	—Unverified	0
MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction	Jul 21, 2023	Domain AdaptationMaterial Segmentation	CodeCode Available	0
Divide and Adapt: Active Domain Adaptation via Customized Learning	Jul 21, 2023	Active LearningDomain Adaptation	CodeCode Available	1
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning	Jul 21, 2023	Domain AdaptationGRAPH DOMAIN ADAPTATION	CodeCode Available	1
Feed-Forward Source-Free Domain Adaptation via Class Prototypes	Jul 20, 2023	Domain AdaptationSource-Free Domain Adaptation	—Unverified	0
Properties of Discrete Sliced Wasserstein Losses	Jul 19, 2023	Domain Adaptation	—Unverified	0
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning	Jul 19, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples	Jul 19, 2023	Domain AdaptationSource-Free Domain Adaptation	—Unverified	0
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives	Jul 18, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Causality-oriented robustness: exploiting general noise interventions	Jul 18, 2023	Causal InferenceDomain Adaptation	CodeCode Available	0
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning	Jul 18, 2023	Domain Adaptationspeech-recognition	CodeCode Available	1
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud	Jul 18, 2023	CPUDecision Making	CodeCode Available	0
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather	Jul 18, 2023	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation	Jul 17, 2023	Action RecognitionDomain Adaptation	—Unverified	0
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI	Jul 17, 2023	Domain AdaptationTransfer Learning	—Unverified	0
Dual-level Interaction for Domain Adaptive Semantic Segmentation	Jul 16, 2023	Domain AdaptationSegmentation	CodeCode Available	1
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling	Jul 16, 2023	3D Object DetectionDomain Adaptation	CodeCode Available	1
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions	Jul 14, 2023	Domain AdaptationDrug Discovery	CodeCode Available	1
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data	Jul 14, 2023	Domain AdaptationPart-Of-Speech Tagging	—Unverified	0
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation	Jul 14, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation	Jul 14, 2023	Domain AdaptationSelf-Supervised Learning	CodeCode Available	1
Population Expansion for Training Language Models with Private Federated Learning	Jul 14, 2023	Domain AdaptationFederated Learning	—Unverified	0
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data	Jul 14, 2023	Domain AdaptationImputation	CodeCode Available	1
AnyStar: Domain randomized universal star-convex 3D instance segmentation	Jul 13, 2023	3D Instance SegmentationDomain Adaptation	CodeCode Available	1

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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