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 5026–5050 of 6439 papers

Title	Date	Tasks	Status
MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge	Oct 9, 2019	Domain Adaptation	CodeCode Available
Learning to Generalize One Sample at a Time with Self-Supervision	Oct 9, 2019	Auxiliary LearningDomain Adaptation	—Unverified
ATL: Autonomous Knowledge Transfer from Many Streaming Processes	Oct 8, 2019	Domain AdaptationOnline Domain Adaptation	CodeCode Available
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019	Oct 8, 2019	Domain AdaptationSelf-Learning	CodeCode Available
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding	Oct 8, 2019	Domain AdaptationDynamic graph embedding	—Unverified
Domain Differential Adaptation for Neural Machine Translation	Oct 7, 2019	Domain AdaptationMachine Translation	CodeCode Available
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation	Oct 7, 2019	Data AugmentationDiversity	—Unverified
A General Upper Bound for Unsupervised Domain Adaptation	Oct 3, 2019	Domain Adaptationimage-classification	—Unverified
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation	Oct 2, 2019	DecoderDomain Adaptation	—Unverified
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation	Oct 1, 2019	Domain AdaptationSegmentation	—Unverified
Unsupervised Graph Association for Person Re-Identification	Oct 1, 2019	Domain AdaptationPerson Re-Identification	CodeCode Available
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network	Oct 1, 2019	Domain AdaptationFace Recognition	—Unverified
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces	Oct 1, 2019	Domain AdaptationHead Pose Estimation	—Unverified
Batch Weight for Domain Adaptation With Mass Shift	Oct 1, 2019	Domain AdaptationImage-to-Image Translation	—Unverified
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation	Oct 1, 2019	ClusteringDomain Adaptation	—Unverified
Attention Bridging Network for Knowledge Transfer	Oct 1, 2019	Domain AdaptationDomain Generalization	—Unverified
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss	Sep 30, 2019	Domain AdaptationSemantic Segmentation	CodeCode Available
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling	Sep 30, 2019	Domain AdaptationSelf-Supervised Learning	CodeCode Available
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation	Sep 26, 2019	ClusteringDomain Adaptation	—Unverified
Unsupervised Domain Adaptation through Self-Supervision	Sep 26, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection	Sep 26, 2019	Dataset GenerationDomain Adaptation	—Unverified
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification	Sep 26, 2019	Action DetectionActivity Detection	—Unverified
A Dictionary Approach to Domain-Invariant Learning in Deep Networks	Sep 25, 2019	Domain Adaptation	—Unverified
PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION	Sep 25, 2019	Domain AdaptationObject Recognition	—Unverified
Adapting to Label Shift with Bias-Corrected Calibration	Sep 25, 2019	Diabetic Retinopathy DetectionDomain Adaptation	—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