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 1001–1025 of 6439 papers

Title	Date	Tasks	Status	Hype
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation	Jul 18, 2020	Domain AdaptationGenerative Adversarial Network	CodeCode Available	1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation	Jul 18, 2020	Domain AdaptationSemi-supervised Domain Adaptation	CodeCode Available	1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation	Jul 17, 2020	Domain AdaptationImage-to-Image Translation	CodeCode Available	1
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation	Jul 17, 2020	Domain AdaptationMulti-Source Unsupervised Domain Adaptation	CodeCode Available	1
DACS: Domain Adaptation via Cross-domain Mixed Sampling	Jul 17, 2020	Domain AdaptationSemantic Segmentation	CodeCode Available	1
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation	Jul 15, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation	Jul 14, 2020	Domain AdaptationKnowledge Distillation	CodeCode Available	1
Automated Synthetic-to-Real Generalization	Jul 14, 2020	Domain Adaptation	CodeCode Available	1
Domain Adaptation with Auxiliary Target Domain-Oriented Classifier	Jul 8, 2020	Domain AdaptationTransfer Learning	CodeCode Available	1
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients	Jul 7, 2020	Computed Tomography (CT)Domain Adaptation	CodeCode Available	1
Scribble-based Domain Adaptation via Co-segmentation	Jul 7, 2020	Domain AdaptationImage Segmentation	CodeCode Available	1
Self domain adapted network	Jul 7, 2020	Domain AdaptationSelf-Supervised Learning	CodeCode Available	1
Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets	Jul 6, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	1
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations	Jul 6, 2020	Domain AdaptationModel Selection	CodeCode Available	1
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis	Jul 5, 2020	DiagnosticDomain Adaptation	CodeCode Available	1
Domain Adaptation without Source Data	Jul 3, 2020	AttributeDomain Adaptation	CodeCode Available	1
Continuously Indexed Domain Adaptation	Jul 3, 2020	Continuously Indexed Domain AdaptationDomain Adaptation	CodeCode Available	1
Online Domain Adaptation for Occupancy Mapping	Jul 1, 2020	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Continuously Index Domain Adaptation	Jul 1, 2020	Continuously Indexed Domain AdaptationDomain Adaptation	CodeCode Available	1
Leveraging Temporal Information for 3D Detection and Domain Adaptation	Jun 30, 2020	Autonomous DrivingDomain Adaptation	CodeCode Available	1
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks	Jun 30, 2020	Domain AdaptationGeneral Classification	CodeCode Available	1
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation	Jun 28, 2020	Collaborative FilteringDomain Adaptation	CodeCode Available	1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment	Jun 23, 2020	Data AugmentationDecoder	CodeCode Available	1
Rescaling Egocentric Vision	Jun 23, 2020	Action AnticipationAction Detection	CodeCode Available	1
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering	Jun 23, 2020	ClassificationClustering	CodeCode Available	1

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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