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 926–950 of 1751 papers

Title	Date	Tasks	Status	Hype
Domain-aware Triplet loss in Domain Generalization	Mar 1, 2023	ClusteringDomain Generalization	CodeCode Available	0
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline	Mar 1, 2023	Anomaly DetectionDomain Generalization	CodeCode Available	1
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks	Feb 28, 2023	Domain Generalization	CodeCode Available	1
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays	Feb 27, 2023	Domain AdaptationDomain Generalization	CodeCode Available	0
Prompt-based Learning for Text Readability Assessment	Feb 25, 2023	Domain GeneralizationText Simplification	CodeCode Available	0
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space	Feb 23, 2023	Binary ClassificationDomain Adaptation	—Unverified	0
Energy-Based Test Sample Adaptation for Domain Generalization	Feb 22, 2023	Domain GeneralizationVariational Inference	CodeCode Available	1
Simple Disentanglement of Style and Content in Visual Representations	Feb 20, 2023	DisentanglementDomain Generalization	CodeCode Available	0
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization	Feb 18, 2023	DiversityDomain Generalization	—Unverified	0
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization	Feb 18, 2023	Domain GeneralizationPrompt Learning	—Unverified	0
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing	Feb 17, 2023	Binary ClassificationContrastive Learning	—Unverified	0
Robust Representation Learning with Self-Distillation for Domain Generalization	Feb 14, 2023	Domain GeneralizationRepresentation Learning	—Unverified	0
Semantic Image Segmentation: Two Decades of Research	Feb 13, 2023	Domain AdaptationDomain Generalization	—Unverified	0
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters	Feb 12, 2023	Continual LearningContrastive Learning	CodeCode Available	1
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization	Feb 10, 2023	Data AugmentationDomain Generalization	—Unverified	0
Domain Generalization by Functional Regression	Feb 9, 2023	Domain Generalizationregression	CodeCode Available	0
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection	Feb 8, 2023	Domain GeneralizationOut-of-Distribution Detection	—Unverified	0
Improving Domain Generalization with Domain Relations	Feb 6, 2023	Domain Generalization	—Unverified	0
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization	Feb 5, 2023	Contrastive LearningDisentanglement	—Unverified	0
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models	Feb 3, 2023	Domain GeneralizationModel Optimization	—Unverified	0
Domain Generalization Emerges from Dreaming	Feb 2, 2023	Data AugmentationDomain Generalization	—Unverified	0
Free Lunch for Domain Adversarial Training: Environment Label Smoothing	Feb 1, 2023	Domain Generalization	CodeCode Available	1
Domain-Generalizable Multiple-Domain Clustering	Jan 31, 2023	ClusteringDomain Generalization	CodeCode Available	0
Fairness and Accuracy under Domain Generalization	Jan 30, 2023	Domain GeneralizationFairness	CodeCode Available	0
Adversarial Style Augmentation for Domain Generalization	Jan 30, 2023	domain classificationDomain Generalization	CodeCode Available	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