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 1251–1275 of 1751 papers

Title	Date	Tasks	Status	Hype
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains	Mar 3, 2022	Domain GeneralizationPerson Re-Identification	CodeCode Available	1
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning	Mar 3, 2022	Compositional Zero-Shot LearningContrastive Learning	CodeCode Available	2
Global-Local Regularization Via Distributional Robustness	Mar 1, 2022	Adversarial RobustnessDomain Adaptation	CodeCode Available	0
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving	Feb 28, 2022	Autonomous DrivingDomain Generalization	CodeCode Available	1
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment	Feb 26, 2022	Domain GeneralizationSegmentation	—Unverified	0
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends	Feb 26, 2022	Domain GeneralizationPerson Re-Identification	—Unverified	0
Deep Learning for Hate Speech Detection: A Comparative Study	Feb 19, 2022	Computational EfficiencyDeep Learning	CodeCode Available	1
Learning to Generalize across Domains on Single Test Samples	Feb 16, 2022	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision	Feb 16, 2022	Action ClassificationAction Recognition	—Unverified	0
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification	Feb 15, 2022	Data AugmentationDomain Generalization	CodeCode Available	1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization	Feb 14, 2022	Domain GeneralizationOut-of-Distribution Generalization	CodeCode Available	1
Source data selection for out-of-domain generalization	Feb 4, 2022	Domain GeneralizationTransfer Learning	—Unverified	0
Certifying Out-of-Domain Generalization for Blackbox Functions	Feb 3, 2022	Domain Generalization	CodeCode Available	0
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization	Feb 3, 2022	Domain Generalization	—Unverified	0
On the Limitations of General Purpose Domain Generalisation Methods	Feb 1, 2022	Domain Generalization	—Unverified	0
Provable Domain Generalization via Invariant-Feature Subspace Recovery	Jan 30, 2022	Domain Generalization	CodeCode Available	1
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study	Jan 27, 2022	Breast Cancer DetectionDeep Learning	—Unverified	0
Conditional entropy minimization principle for learning domain invariant representation features	Jan 25, 2022	Domain Generalization	CodeCode Available	0
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction	Jan 20, 2022	Data AugmentationDecoder	—Unverified	0
Moving Beyond Navigation with Active Neural SLAM	Jan 17, 2022	Domain Generalizationmotion prediction	—Unverified	0
LawngNLI: a multigranular, long-premise NLI benchmark for evaluating models’ in-domain generalization from short to long contexts	Jan 16, 2022	Domain GeneralizationNatural Language Inference	—Unverified	0
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond	Jan 10, 2022	AttributeAutonomous Driving	CodeCode Available	2
A ConvNet for the 2020s	Jan 10, 2022	ClassificationDomain Generalization	CodeCode Available	5
Preserving Domain Private Representation via Mutual Information Maximization	Jan 9, 2022	Domain AdaptationDomain Generalization	—Unverified	0
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks	Jan 6, 2022	Domain GeneralizationSensitivity	CodeCode Available	1

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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