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 2601–2625 of 6439 papers

Title	Date	Tasks	Status	Hype
On the Generalization for Transfer Learning: An Information-Theoretic Analysis	Jul 12, 2022	Domain AdaptationTransfer Learning	—Unverified	0
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners	Jul 12, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers	Jul 12, 2022	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation	Jul 11, 2022	DisentanglementDomain Adaptation	CodeCode Available	0
Real-Time And Robust 3D Object Detection with Roadside LiDARs	Jul 11, 2022	3D Object DetectionAutonomous Driving	—Unverified	0
Gradual Domain Adaptation without Indexed Intermediate Domains	Jul 11, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition	Jul 10, 2022	Activity RecognitionContrastive Learning	CodeCode Available	0
Dual-Correction Adaptation Network for Noisy Knowledge Transfer	Jul 10, 2022	Domain AdaptationTransfer Learning	—Unverified	0
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation	Jul 10, 2022	Contrastive LearningDomain Adaptation	—Unverified	0
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox	Jul 10, 2022	Domain AdaptationUniversal Domain Adaptation	—Unverified	0
Domain Alignment Meets Fully Test-Time Adaptation	Jul 9, 2022	Domain AdaptationTest-time Adaptation	CodeCode Available	0
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization	Jul 8, 2022	Domain AdaptationImage Segmentation	CodeCode Available	0
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition	Jul 7, 2022	Cross-corpusDeep Reinforcement Learning	—Unverified	0
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style	Jul 7, 2022	Data AugmentationDisentanglement	CodeCode Available	0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report	Jul 7, 2022	Action RecognitionDomain Adaptation	—Unverified	0
Adaptation of Surgical Activity Recognition Models Across Operating Rooms	Jul 7, 2022	Activity RecognitionDomain Adaptation	—Unverified	0
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps	Jul 6, 2022	2D Human Pose EstimationDomain Adaptation	—Unverified	0
Unsupervised Manifold Alignment with Joint Multidimensional Scaling	Jul 6, 2022	Domain AdaptationGraph Matching	CodeCode Available	1
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation	Jul 6, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Cooperative Distribution Alignment via JSD Upper Bound	Jul 5, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling	Jul 4, 2022	ClassificationDomain Adaptation	—Unverified	0
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach	Jul 2, 2022	Domain AdaptationImage Generation	CodeCode Available	1
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions	Jul 1, 2022	Domain AdaptationFault Diagnosis	—Unverified	0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation	Jul 1, 2022	DiversityDomain Adaptation	—Unverified	0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities	Jul 1, 2022	Chinese Named Entity RecognitionData Augmentation	—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