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 3276–3300 of 6439 papers

Title	Date	Tasks	Status	Hype
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City	Oct 18, 2021	Domain AdaptationPrediction	CodeCode Available	0
FAST3D: Flow-Aware Self-Training for 3D Object Detectors	Oct 18, 2021	Autonomous DrivingDomain Adaptation	—Unverified	0
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning	Oct 18, 2021	DiagnosticDomain Adaptation	CodeCode Available	0
Pixel-level Intra-domain Adaptation for Semantic Segmentation	Oct 17, 2021	Domain AdaptationSegmentation	—Unverified	0
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation	Oct 17, 2021	Domain AdaptationPseudo Label	CodeCode Available	1
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild	Oct 17, 2021	Domain Adaptation	CodeCode Available	1
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation	Oct 16, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation	Oct 16, 2021	8kDomain Adaptation	—Unverified	0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER	Oct 16, 2021	Domain AdaptationFew-Shot Text Classification	CodeCode Available	1
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation	Oct 16, 2021	Domain Adaptation	CodeCode Available	1
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks	Oct 15, 2021	Domain Adaptation	CodeCode Available	1
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters	Oct 15, 2021	ClusteringDomain Adaptation	—Unverified	0
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation	Oct 15, 2021	Domain AdaptationTranslation	—Unverified	0
Crisis Domain Adaptation Using Sequence-to-sequence Transformers	Oct 15, 2021	Domain AdaptationLanguage Modelling	CodeCode Available	0
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining	Oct 15, 2021	Data AugmentationDomain Adaptation	CodeCode Available	1
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors	Oct 14, 2021	Domain Adaptation	—Unverified	0
Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization	Oct 14, 2021	Domain AdaptationSemantic Segmentation	—Unverified	0
Domain generalization in deep learning for contrast-enhanced imaging	Oct 14, 2021	AnatomyData Augmentation	—Unverified	0
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency	Oct 14, 2021	Domain AdaptationGPU	—Unverified	0
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination	Oct 14, 2021	Domain Adaptation	CodeCode Available	0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation	Oct 13, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	0
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment	Oct 13, 2021	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance	Oct 13, 2021	Dimensionality ReductionDomain Adaptation	—Unverified	0
Prompt-tuning in ASR systems for efficient domain-adaptation	Oct 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
LENS: Localization enhanced by NeRF synthesis	Oct 13, 2021	3D geometryData 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