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 4951–4975 of 6439 papers

Title	Date	Tasks	Status
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation	Dec 1, 2019	Domain AdaptationGeneral Classification	CodeCode Available
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks	Dec 1, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Correlation-aware Adversarial Domain Adaptation and Generalization	Nov 29, 2019	Domain AdaptationDomain Generalization	—Unverified
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation	Nov 28, 2019	Adversarial AttackDomain Adaptation	CodeCode Available
Discriminative Adversarial Domain Adaptation	Nov 27, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Class-Conditional Domain Adaptation on Semantic Segmentation	Nov 27, 2019	Domain AdaptationSemantic Segmentation	—Unverified
Spatial-Aware GAN for Unsupervised Person Re-identification	Nov 26, 2019	Domain AdaptationPerson Re-Identification	—Unverified
Unsupervised Domain Adaptation of Language Models for Reading Comprehension	Nov 25, 2019	Domain AdaptationLanguage Modeling	—Unverified
A Unified Deep Learning Approach for Prediction of Parkinson's Disease	Nov 25, 2019	Deep LearningDomain Adaptation	—Unverified
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition	Nov 25, 2019	Action RecognitionAction Recognition In Videos	—Unverified
Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment	Nov 25, 2019	Domain Adaptation	—Unverified
Improving land cover segmentation across satellites using domain adaptation	Nov 25, 2019	Domain AdaptationEarth Observation	CodeCode Available
Multi-source Distilling Domain Adaptation	Nov 22, 2019	Domain AdaptationMulti-Source Unsupervised Domain Adaptation	CodeCode Available
Domain Adaptation for Object Detection via Style Consistency	Nov 22, 2019	Domain AdaptationObject	CodeCode Available
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck	Nov 21, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation	Nov 20, 2019	Domain AdaptationOptical Flow Estimation	—Unverified
Deep Detector Health Management under Adversarial Campaigns	Nov 19, 2019	Domain AdaptationManagement	—Unverified
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling	Nov 18, 2019	ClusteringDomain Adaptation	CodeCode Available
Neocortical plasticity: an unsupervised cake but no free lunch	Nov 15, 2019	Domain AdaptationRepresentation Learning	—Unverified
Curriculum Self-Paced Learning for Cross-Domain Object Detection	Nov 15, 2019	Domain AdaptationObject	—Unverified
Copy-Move Forgery Classification via Unsupervised Domain Adaptation	Nov 14, 2019	ClassificationDomain Adaptation	—Unverified
Neural Duplicate Question Detection without Labeled Training Data	Nov 13, 2019	Answer SelectionCommunity Question Answering	CodeCode Available
Unsupervised Domain Adaptation on Reading Comprehension	Nov 13, 2019	Domain AdaptationReading Comprehension	CodeCode Available
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation	Nov 11, 2019	Domain AdaptationQuestion Answering	—Unverified
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings	Nov 8, 2019	Domain AdaptationTransfer 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