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 1726–1750 of 1751 papers

Title	Date	Tasks	Status
MetaReg: Towards Domain Generalization using Meta-Regularization	Dec 1, 2018	BIG-bench Machine LearningDomain Generalization	—Unverified
The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity	Nov 1, 2018	ArticlesDomain Generalization	CodeCode Available
Domain Generalization with Domain-Specific Aggregation Modules	Sep 28, 2018	Domain Generalization	—Unverified
Domain Generalization via Invariant Representation under Domain-Class Dependency	Sep 27, 2018	Domain Generalization	—Unverified
Deep Domain Generalization via Conditional Invariant Adversarial Networks	Sep 1, 2018	Domain GeneralizationRepresentation Learning	—Unverified
Hallucinating Agnostic Images to Generalize Across Domains	Aug 3, 2018	Domain AdaptationDomain Generalization	CodeCode Available
Deep Graph Laplacian Regularization for Robust Denoising of Real Images	Jul 31, 2018	DenoisingDomain Generalization	CodeCode Available
Domain Generalization via Conditional Invariant Representation	Jul 23, 2018	Domain Generalization	—Unverified
Domain2Vec: Deep Domain Generalization	Jul 9, 2018	Domain Generalizationimage-classification	—Unverified
Best sources forward: domain generalization through source-specific nets	Jun 15, 2018	Domain AdaptationDomain Generalization	—Unverified
Domain Generalization With Adversarial Feature Learning	Jun 1, 2018	Domain Generalization	—Unverified
Robust Place Categorization with Deep Domain Generalization	May 30, 2018	Domain AdaptationDomain Generalization	CodeCode Available
Generalizing Across Domains via Cross-Gradient Training	Apr 28, 2018	Data AugmentationDomain Adaptation	CodeCode Available
Kernel Embedding Approaches to Orbit Determination of Spacecraft Clusters	Mar 1, 2018	Domain Generalization	—Unverified
Domain Generalization by Marginal Transfer Learning	Nov 21, 2017	Domain GeneralizationGeneral Classification	CodeCode Available
Unified Deep Supervised Domain Adaptation and Generalization	Sep 28, 2017	Domain AdaptationDomain Generalization	CodeCode Available
Deep Shape Matching	Sep 11, 2017	Domain GeneralizationImage Retrieval	CodeCode Available
Domain Separation Networks	Aug 22, 2016	Domain AdaptationDomain Generalization	CodeCode Available
Semantic Clustering for Robust Fine-Grained Scene Recognition	Jul 26, 2016	ClusteringDomain Generalization	—Unverified
Learning Attributes Equals Multi-Source Domain Generalization	May 3, 2016	AttributeDomain Generalization	—Unverified
Multi-View Domain Generalization for Visual Recognition	Dec 1, 2015	Domain AdaptationDomain Generalization	—Unverified
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization	Oct 15, 2015	Domain AdaptationDomain Generalization	—Unverified
Invariant Models for Causal Transfer Learning	Jul 19, 2015	Domain GeneralizationTransfer Learning	CodeCode Available
Using Tweets to Help Sentence Compression for News Highlights Generation	Jul 1, 2015	Document SummarizationDomain Generalization	—Unverified
Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach	Jun 1, 2015	Domain Generalization	—Unverified

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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