Domain Generalization

The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain

Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1501–1525 of 1751 papers

Title	Date	Tasks	Status	Hype
Domain Generalization using Ensemble Learning	Mar 18, 2021	Domain GeneralizationEnsemble Learning	—Unverified	0
AI Fairness via Domain Adaptation	Mar 15, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Treatment Effect Estimation using Invariant Risk Minimization	Mar 13, 2021	DiversityDomain Generalization	CodeCode Available	1
Uncertainty-guided Model Generalization to Unseen Domains	Mar 12, 2021	Domain Generalizationimage-classification	—Unverified	0
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space	Mar 10, 2021	Domain GeneralizationFederated Learning	CodeCode Available	1
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis	Mar 4, 2021	Deep LearningDomain Generalization	CodeCode Available	1
FSDR: Frequency Space Domain Randomization for Domain Generalization	Mar 3, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
Domain Generalization: A Survey	Mar 3, 2021	Action RecognitionData Augmentation	—Unverified	0
Group-wise Inhibition based Feature Regularization for Robust Classification	Mar 3, 2021	ClassificationDiversity	CodeCode Available	1
Generalizing to Unseen Domains: A Survey on Domain Generalization	Mar 2, 2021	Domain GeneralizationOut-of-Distribution Generalization	—Unverified	0
Domain Generalization via Inference-time Label-Preserving Target Projections	Mar 1, 2021	Domain Generalization	—Unverified	0
Neuron Coverage-Guided Domain Generalization	Feb 27, 2021	DNN TestingDomain Generalization	—Unverified	0
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization	Feb 25, 2021	Domain GeneralizationOut-of-Distribution Generalization	—Unverified	0
Self-Domain Adaptation for Face Anti-Spoofing	Feb 24, 2021	Domain AdaptationDomain Generalization	—Unverified	0
A microservice-based framework for exploring data selection in cross-building knowledge transfer	Feb 23, 2021	Domain GeneralizationTransfer Learning	—Unverified	0
Model-Based Domain Generalization	Feb 23, 2021	Domain Generalizationmodel	CodeCode Available	1
On Calibration and Out-of-domain Generalization	Feb 20, 2021	Domain Generalization	—Unverified	0
Transferability of Neural Network Clinical De-identification Systems	Feb 17, 2021	De-identificationDomain Generalization	—Unverified	0
Robust Domain-Free Domain Generalization with Class-aware Alignment	Feb 17, 2021	Domain Generalizationimage-classification	—Unverified	0
SWAD: Domain Generalization by Seeking Flat Minima	Feb 17, 2021	Domain GeneralizationGeneralization Bounds	CodeCode Available	1
Robust White Matter Hyperintensity Segmentation on Unseen Domain	Feb 12, 2021	BIG-bench Machine LearningDomain Generalization	CodeCode Available	0
Domain Invariant Representation Learning with Domain Density Transformations	Feb 9, 2021	Domain GeneralizationRepresentation Learning	CodeCode Available	1
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve	Feb 7, 2021	Domain AdaptationDomain Generalization	CodeCode Available	0
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation	Feb 2, 2021	Data AugmentationDomain Adaptation	CodeCode Available	1
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization	Jan 23, 2021	Domain GeneralizationModel Selection	—Unverified	0

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All datasets PACS VizWiz-Classification ImageNet-C Office-Home ImageNet-A ImageNet-R DomainNet VLCS TerraIncognita GTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-Sketch GTA5 to Cityscapes

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SIMPLE+	Average Accuracy	99	—	Unverified
2	PromptStyler (CLIP, ViT-L/14)	Average Accuracy	98.6	—	Unverified
3	GMDG (RegNetY-16GF, SWAD)	Average Accuracy	97.9	—	Unverified
4	D-Triplet(RegNetY-16GF)	Average Accuracy	97.6	—	Unverified
5	MoA (OpenCLIP, ViT-B/16)	Average Accuracy	97.4	—	Unverified
6	GMDG (e RegNetY-16GF)	Average Accuracy	97.3	—	Unverified
7	PromptStyler (CLIP, ViT-B/16)	Average Accuracy	97.2	—	Unverified
8	SPG (CLIP, ViT-B/16)	Average Accuracy	97	—	Unverified
9	CAR-FT (CLIP, ViT-B/16)	Average Accuracy	96.8	—	Unverified
10	MIRO (RegNetY-16GF, SWAD)	Average Accuracy	96.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-8/B-224	Accuracy - Clean Images	450	—	Unverified
2	VOLO-D5	Accuracy - All Images	57.2	—	Unverified
3	ConvNeXt-B	Accuracy - All Images	53.5	—	Unverified
4	ResNeXt-101 32x16d	Accuracy - All Images	51.7	—	Unverified
5	EfficientNet-B8 (advprop+autoaug)	Accuracy - All Images	50.5	—	Unverified
6	EfficientNet-B7 (advprop+autoaug)	Accuracy - All Images	49.7	—	Unverified
7	EfficientNet-B6 (advprop+autoaug)	Accuracy - All Images	49.6	—	Unverified
8	EfficientNet-B5 (advprop+autoaug)	Accuracy - All Images	49.1	—	Unverified
9	ViT-16/L-224	Accuracy - All Images	49	—	Unverified
10	ResNet-50 (gn)	Accuracy - All Images	48.9	—	Unverified