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 1876–1900 of 6439 papers

Title	Date	Tasks	Status	Hype
Weight-based Mask for Domain Adaptation	Apr 22, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation	Apr 21, 2023	Domain AdaptationSemi-supervised Domain Adaptation	—Unverified	0
SCoDA: Domain Adaptive Shape Completion for Real Scans	Apr 20, 2023	BenchmarkingDomain Adaptation	CodeCode Available	1
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition	Apr 20, 2023	Domain AdaptationUniversal Domain Adaptation	CodeCode Available	1
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation	Apr 19, 2023	Domain AdaptationTransfer Learning	CodeCode Available	0
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery	Apr 19, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	0
Knowledge Distillation Under Ideal Joint Classifier Assumption	Apr 19, 2023	Domain AdaptationKnowledge Distillation	—Unverified	0
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation	Apr 19, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection	Apr 19, 2023	3D Object DetectionAttribute	CodeCode Available	1
Tailoring Domain Adaptation for Machine Translation Quality Estimation	Apr 18, 2023	Data AugmentationDomain Adaptation	CodeCode Available	0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation	Apr 18, 2023	Domain AdaptationMyocardium Segmentation	—Unverified	0
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation	Apr 18, 2023	Domain AdaptationTranslation	—Unverified	0
Political corpus creation through automatic speech recognition on EU debates	Apr 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Heterogeneous Domain Adaptation with Positive and Unlabeled Data	Apr 17, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Implicit Bayes Adaptation: A Collaborative Transport Approach	Apr 17, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates	Apr 16, 2023	Domain AdaptationEarth Observation	CodeCode Available	0
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation	Apr 15, 2023	Continual LearningDomain Adaptation	CodeCode Available	1
Context-aware Domain Adaptation for Time Series Anomaly Detection	Apr 15, 2023	Anomaly DetectionDeep Reinforcement Learning	—Unverified	0
Continual Source-Free Unsupervised Domain Adaptation	Apr 14, 2023	Continual LearningDomain Adaptation	—Unverified	0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation	Apr 14, 2023	Domain AdaptationSegmentation	—Unverified	0
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery	Apr 14, 2023	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation	Apr 14, 2023	Cancer ClassificationDomain Adaptation	—Unverified	0
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution	Apr 13, 2023	Domain Adaptation	CodeCode Available	1
CoSDA: Continual Source-Free Domain Adaptation	Apr 13, 2023	Domain AdaptationSource-Free Domain Adaptation	CodeCode Available	1
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles	Apr 11, 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