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 1951–1975 of 6439 papers

Title	Date	Tasks	Status	Hype
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images	Mar 23, 2023	Domain AdaptationImage Quality Assessment	CodeCode Available	0
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition	Mar 23, 2023	Action RecognitionDomain Adaptation	CodeCode Available	1
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices	Mar 23, 2023	Domain Adaptationregression	CodeCode Available	1
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	Mar 23, 2023	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters	Mar 23, 2023	Domain AdaptationInformation Retrieval	—Unverified	0
Keypoint-Guided Optimal Transport	Mar 23, 2023	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning	Mar 22, 2023	Contrastive LearningDomain Adaptation	—Unverified	0
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds	Mar 21, 2023	3D Single Object TrackingAutonomous Driving	CodeCode Available	2
Probabilistic Domain Adaptation for Biomedical Image Segmentation	Mar 21, 2023	Domain AdaptationImage Segmentation	CodeCode Available	0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain Adaptation	Mar 20, 2023	DiversityDomain Adaptation	CodeCode Available	0
TempT: Temporal consistency for Test-time adaptation	Mar 19, 2023	Domain AdaptationFacial Expression Recognition	—Unverified	0
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond	Mar 18, 2023	Domain Adaptationimage-classification	—Unverified	0
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation	Mar 18, 2023	Action RecognitionDomain Adaptation	—Unverified	0
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation	Mar 18, 2023	Autonomous DrivingDomain Adaptation	—Unverified	0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation	Mar 17, 2023	DiversityDomain Adaptation	—Unverified	0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation	Mar 17, 2023	Domain AdaptationPseudo Label	—Unverified	0
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances	Mar 17, 2023	Action RecognitionDomain Adaptation	CodeCode Available	1
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction	Mar 17, 2023	Depth EstimationDomain Adaptation	CodeCode Available	1
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation	Mar 16, 2023	Domain Adaptationimage-classification	CodeCode Available	1
Unsupervised domain adaptation by learning using privileged information	Mar 16, 2023	Domain Adaptationimage-classification	—Unverified	0
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling	Mar 16, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation	Mar 16, 2023	Domain AdaptationSemantic Segmentation	—Unverified	0
Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-identification	Mar 15, 2023	Domain AdaptationDomain Adaptive Person Re-Identification	—Unverified	0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation	Mar 15, 2023	Dimensionality ReductionDomain Adaptation	CodeCode Available	0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks	Mar 15, 2023	Domain AdaptationGeneralization Bounds	—Unverified	0

Show:10 25 50

← PrevPage 79 of 258Next →

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	CMKD	Accuracy	89	—	Unverified
5	PMTrans	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	DDA	Accuracy	88.9	—	Unverified
9	MEDM	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