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 4051–4075 of 6439 papers

Title	Date	Tasks	Status	Hype
Test-Time Adaptation and Adversarial Robustness	Jan 1, 2021	Adversarial RobustnessDomain Adaptation	—Unverified	0
Learning a Max-Margin Classifier for Cross-Domain Sentiment Analysis	Jan 1, 2021	Domain AdaptationMarketing	—Unverified	0
Adaptive Tree Wasserstein Minimization for Hierarchical Generative Modeling	Jan 1, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Dual Adversarial Training for Unsupervised Domain Adaptation	Jan 1, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Pair-based Self-Distillation for Semi-supervised Domain Adaptation	Jan 1, 2021	Domain AdaptationSemi-supervised Domain Adaptation	—Unverified	0
Transferable Feature Learning on Graphs Across Visual Domains	Jan 1, 2021	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Scaling Unsupervised Domain Adaptation through Optimal Collaborator Selection and Lazy Discriminator Synchronization	Jan 1, 2021	Domain AdaptationPrivacy Preserving	—Unverified	0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks	Jan 1, 2021	Domain AdaptationGeneralization Bounds	—Unverified	0
Domain Adaptation via Anaomaly Detection	Jan 1, 2021	Anomaly DetectionDomain Adaptation	—Unverified	0
Unified Principles For Multi-Source Transfer Learning Under Label Shifts	Jan 1, 2021	Domain AdaptationTransfer Learning	—Unverified	0
PolyRetro: Few-shot Polymer Retrosynthesis via Domain Adaptation	Jan 1, 2021	Domain AdaptationRetrosynthesis	—Unverified	0
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos	Dec 31, 2020	Domain Adaptation	—Unverified	0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation	Dec 31, 2020	Autonomous VehiclesDiversity	CodeCode Available	0
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?	Dec 30, 2020	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy	Dec 28, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	0
Deep Visual Domain Adaptation	Dec 28, 2020	Domain Adaptationimage-classification	—Unverified	0
Learning by Ignoring, with Application to Domain Adaptation	Dec 28, 2020	BIG-bench Machine LearningDomain Adaptation	—Unverified	0
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation	Dec 27, 2020	Data AugmentationDomain Adaptation	CodeCode Available	1
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification	Dec 25, 2020	Domain AdaptationPseudo Label	CodeCode Available	1
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank	Dec 24, 2020	Cross-Lingual TransferDependency Parsing	—Unverified	0
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer	Dec 23, 2020	Domain AdaptationSegmentation	—Unverified	0
General Domain Adaptation Through Proportional Progressive Pseudo Labeling	Dec 23, 2020	Anomaly DetectionDomain Adaptation	CodeCode Available	0
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation	Dec 23, 2020	Domain AdaptationImage Segmentation	—Unverified	0
Open Set Domain Adaptation by Extreme Value Theory	Dec 22, 2020	Domain Adaptation	—Unverified	0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020	Dec 22, 2020	Domain AdaptationMachine Translation	—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