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 5376–5400 of 6439 papers

Title	Date	Tasks	Status	Hype
Artistic Object Recognition by Unsupervised Style Adaptation	Dec 28, 2018	Domain AdaptationObject	—Unverified	0
The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA	Dec 26, 2018	Domain AdaptationSpeaker Recognition	—Unverified	0
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes	Dec 24, 2018	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Multi-component Image Translation for Deep Domain Generalization	Dec 21, 2018	Domain AdaptationDomain Generalization	—Unverified	0
Patent Retrieval: A Literature Review	Dec 20, 2018	Domain AdaptationInformation Retrieval	—Unverified	0
A General Approach to Domain Adaptation with Applications in Astronomy	Dec 20, 2018	Active LearningAstronomy	—Unverified	0
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation	Dec 19, 2018	Cardiac SegmentationDomain Adaptation	CodeCode Available	0
Cross-Database Micro-Expression Recognition: A Benchmark	Dec 19, 2018	Domain AdaptationMicro Expression Recognition	—Unverified	0
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation	Dec 18, 2018	Domain AdaptationGeneral Classification	—Unverified	0
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks	Dec 18, 2018	Domain AdaptationReinforcement Learning	—Unverified	0
Domain Adaptation for Reinforcement Learning on the Atari	Dec 18, 2018	continuous-controlContinuous Control	—Unverified	0
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm	Dec 17, 2018	Domain AdaptationGeneral Classification	—Unverified	0
PAC Learning Guarantees Under Covariate Shift	Dec 16, 2018	Domain AdaptationPAC learning	—Unverified	0
A Parametric Top-View Representation of Complex Road Scenes	Dec 14, 2018	Decision MakingDomain Adaptation	—Unverified	0
DLOW: Domain Flow for Adaptation and Generalization	Dec 13, 2018	Domain AdaptationSemantic Segmentation	CodeCode Available	0
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation	Dec 12, 2018	ClusteringDomain Adaptation	CodeCode Available	0
Attentional Road Safety Networks	Dec 12, 2018	Domain Adaptation	—Unverified	0
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation	Dec 11, 2018	Domain AdaptationSegmentation	CodeCode Available	0
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models	Dec 9, 2018	Domain AdaptationDomain Generalization	—Unverified	0
What is the Effect of Importance Weighting in Deep Learning?	Dec 8, 2018	Causal InferenceDeep Learning	CodeCode Available	0
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection	Dec 6, 2018	Domain Adaptation	—Unverified	0
Disjoint Label Space Transfer Learning with Common Factorised Space	Dec 6, 2018	Domain AdaptationTransfer Learning	—Unverified	0
A novel health risk model based on intraday physical activity time series collected by smartphones	Dec 6, 2018	Domain AdaptationTime Series	—Unverified	0
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation	Dec 6, 2018	Domain Adaptationobject-detection	—Unverified	0
A Survey of Unsupervised Deep Domain Adaptation	Dec 6, 2018	Domain AdaptationSurvey	CodeCode Available	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