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 5276–5300 of 6439 papers

Title	Date	Tasks	Status
Domain adaptation for part-of-speech tagging of noisy user-generated text	May 21, 2019	Domain AdaptationPart-Of-Speech Tagging	—Unverified
Semi-Supervised Learning by Augmented Distribution Alignment	May 20, 2019	Domain AdaptationSemi-Supervised Image Classification	CodeCode Available
Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation	May 19, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis	May 17, 2019	AttributeDomain Adaptation	—Unverified
The Role of Embedding Complexity in Domain-invariant Representations	May 16, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Gated Convolutional Neural Networks for Domain Adaptation	May 16, 2019	Domain AdaptationSentiment Analysis	—Unverified
Progressive Memory Banks for Incremental Domain Adaptation	May 16, 2019	Domain Adaptation	—Unverified
Domain Adaptive Transfer Learning for Fault Diagnosis	May 15, 2019	Domain AdaptationFault Diagnosis	—Unverified
Curriculum Learning for Domain Adaptation in Neural Machine Translation	May 14, 2019	Domain AdaptationMachine Translation	—Unverified
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection	May 14, 2019	Domain Adaptationobject-detection	—Unverified
Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation	May 14, 2019	Domain AdaptationDomain Adaptive Person Re-Identification	—Unverified
Weakly-supervised Caricature Face Parsing through Domain Adaptation	May 13, 2019	AttributeCaricature	CodeCode Available
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation	May 11, 2019	Dictionary LearningDomain Adaptation	—Unverified
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation	May 10, 2019	Domain AdaptationPartial Domain Adaptation	—Unverified
Virtual Mixup Training for Unsupervised Domain Adaptation	May 10, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Ship classification from overhead imagery using synthetic data and domain adaptation	May 10, 2019	Domain AdaptationGeneral Classification	—Unverified
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images	May 8, 2019	Domain AdaptationManagement	CodeCode Available
CrossTrainer: Practical Domain Adaptation with Loss Reweighting	May 7, 2019	Domain Adaptation	CodeCode Available
Unsupervised Domain Adaptation using Graph Transduction Games	May 6, 2019	Domain AdaptationObject Recognition	—Unverified
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements	May 6, 2019	Domain AdaptationImputation	CodeCode Available
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery	May 4, 2019	Data AugmentationDomain Adaptation	—Unverified
Known-class Aware Self-ensemble for Open Set Domain Adaptation	May 3, 2019	Domain Adaptation	CodeCode Available
KnowBias: A Novel AI Method to Detect Polarity in Online Content	May 2, 2019	ArticlesDomain Adaptation	—Unverified
Reducing Overconfident Errors outside the Known Distribution	May 1, 2019	Domain AdaptationNovelty Detection	—Unverified
Stacking for Transfer Learning	May 1, 2019	Domain AdaptationEnsemble Learning	—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