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 4776–4800 of 6439 papers

Title	Date	Tasks	Status
Domain Adaptive Multibranch Networks	May 1, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching	Apr 30, 2020	Acoustic Scene ClassificationDomain Adaptation	—Unverified
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation	Apr 30, 2020	Domain AdaptationMachine Translation	—Unverified
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation	Apr 30, 2020	de-enDomain Adaptation	—Unverified
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training	Apr 27, 2020	Domain AdaptationSegmentation	—Unverified
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification	Apr 25, 2020	Domain AdaptationVehicle Re-Identification	—Unverified
L-Vector: Neural Label Embedding for Domain Adaptation	Apr 25, 2020	Domain Adaptation	—Unverified
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation	Apr 24, 2020	Domain AdaptationSemantic Segmentation	—Unverified
A survey on domain adaptation theory: learning bounds and theoretical guarantees	Apr 24, 2020	BIG-bench Machine LearningDomain Adaptation	—Unverified
Expanding Sparse Guidance for Stereo Matching	Apr 24, 2020	Domain AdaptationStereo Matching	—Unverified
Explicit Domain Adaptation with Loosely Coupled Samples	Apr 24, 2020	Autonomous DrivingDomain Adaptation	—Unverified
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection	Apr 23, 2020	Domain AdaptationGeneral Classification	—Unverified
Metric-Learning-Assisted Domain Adaptation	Apr 23, 2020	Domain AdaptationMetric Learning	—Unverified
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification	Apr 22, 2020	ClassificationDomain Adaptation	—Unverified
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation	Apr 22, 2020	Domain AdaptationRepresentation Learning	—Unverified
Moment-Based Domain Adaptation: Learning Bounds and Algorithms	Apr 22, 2020	BIG-bench Machine LearningDomain Adaptation	—Unverified
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition	Apr 21, 2020	Domain AdaptationObject Categorization	CodeCode Available
Class Distribution Alignment for Adversarial Domain Adaptation	Apr 20, 2020	Domain AdaptationGeneral Classification	—Unverified
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation	Apr 20, 2020	Domain Adaptation	—Unverified
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation	Apr 19, 2020	Domain AdaptationSemantic Segmentation	—Unverified
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation	Apr 19, 2020	Domain AdaptationImage-to-Image Translation	—Unverified
Generative Adversarial Networks for Video-to-Video Domain Adaptation	Apr 17, 2020	Domain AdaptationGenerative Adversarial Network	—Unverified
IDDA: a large-scale multi-domain dataset for autonomous driving	Apr 17, 2020	Autonomous DrivingDomain Adaptation	—Unverified
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation	Apr 15, 2020	Domain AdaptationKnowledge Distillation	—Unverified
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization	Apr 14, 2020	Domain AdaptationSegmentation	—Unverified

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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