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 5001–5025 of 6439 papers

Title	Date	Tasks	Status
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis	Oct 28, 2019	Domain Adaptationtext-classification	CodeCode Available
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification	Oct 27, 2019	ClusteringDomain Adaptation	—Unverified
Reducing Domain Gap by Reducing Style Bias	Oct 25, 2019	Domain AdaptationDomain Generalization	CodeCode Available
Progressive Domain Adaptation for Object Detection	Oct 24, 2019	Domain AdaptationObject	CodeCode Available
Cross-Lingual Vision-Language Navigation	Oct 24, 2019	Domain AdaptationNavigate	CodeCode Available
Instance-Based Model Adaptation For Direct Speech Translation	Oct 23, 2019	Domain AdaptationSpeech-to-Text	—Unverified
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation	Oct 23, 2019	Domain AdaptationImage-to-Image Translation	—Unverified
Class-imbalanced Domain Adaptation: An Empirical Odyssey	Oct 23, 2019	Domain AdaptationTransfer Learning	—Unverified
Gaze360: Physically Unconstrained Gaze Estimation in the Wild	Oct 22, 2019	Domain AdaptationGaze Estimation	CodeCode Available
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation	Oct 21, 2019	Deep Reinforcement LearningDomain Adaptation	—Unverified
Learning GANs and Ensembles Using Discrepancy	Oct 20, 2019	Domain Adaptation	—Unverified
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation	Oct 18, 2019	Domain AdaptationSentence	—Unverified
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration	Oct 18, 2019	Domain AdaptationImage Registration	—Unverified
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos	Oct 17, 2019	DiagnosticDomain Adaptation	—Unverified
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI	Oct 17, 2019	Brain Computer InterfaceDomain Adaptation	CodeCode Available
Towards Resolving Propensity Contradiction in Offline Recommender Learning	Oct 16, 2019	Domain AdaptationSelection bias	CodeCode Available
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification	Oct 16, 2019	ClassificationDomain Adaptation	CodeCode Available
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation	Oct 16, 2019	DecoderDiversity	CodeCode Available
Wasserstein Distance Guided Cross-Domain Learning	Oct 14, 2019	Domain Adaptation	—Unverified
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces	Oct 14, 2019	Domain AdaptationEEG	CodeCode Available
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning	Oct 14, 2019	Domain AdaptationImage Retrieval	—Unverified
The Role of Embedding Complexity in Domain-invariant Representations	Oct 13, 2019	Domain AdaptationSensitivity	CodeCode Available
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems	Oct 13, 2019	Domain AdaptationFault Detection	—Unverified
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation	Oct 12, 2019	Domain Adaptationimage-classification	CodeCode Available
ErrorNet: Learning error representations from limited data to improve vascular segmentation	Oct 10, 2019	Domain AdaptationRetinal Vessel Segmentation	—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