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 1701–1725 of 1751 papers

Title	Date	Tasks	Status	Hype
Domain Generalization by Solving Jigsaw Puzzles	Mar 16, 2019	Domain GeneralizationImage Classification	CodeCode Available	0
Adversarial Feature Learning under Accuracy Constraint for Domain Generalization	Mar 14, 2019	Domain Generalization	—Unverified	0
Learning Robust Representations by Projecting Superficial Statistics Out	Mar 2, 2019	Domain Generalization	—Unverified	0
Cooperative Learning of Disjoint Syntax and Semantics	Feb 25, 2019	Domain GeneralizationNatural Language Inference	CodeCode Available	0
A Domain Generalization Perspective on Listwise Context Modeling	Feb 12, 2019	Domain GeneralizationInformation Retrieval	—Unverified	0
Feature-Critic Networks for Heterogeneous Domain Generalization	Jan 31, 2019	Domain AdaptationDomain Generalization	CodeCode Available	0
Episodic Training for Domain Generalization	Jan 31, 2019	Domain Generalization	CodeCode Available	0
Generalization of feature embeddings transferred from different video anomaly detection domains	Jan 28, 2019	Anomaly DetectionDomain Generalization	—Unverified	0
A review of domain adaptation without target labels	Jan 16, 2019	Domain AdaptationDomain Generalization	CodeCode Available	0
Multi-component Image Translation for Deep Domain Generalization	Dec 21, 2018	Domain AdaptationDomain Generalization	—Unverified	0
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models	Dec 9, 2018	Domain AdaptationDomain Generalization	—Unverified	0
Bag of Tricks for Image Classification with Convolutional Neural Networks	Dec 4, 2018	Domain GeneralizationGeneral Classification	CodeCode Available	1
MetaReg: Towards Domain Generalization using Meta-Regularization	Dec 1, 2018	BIG-bench Machine LearningDomain Generalization	—Unverified	0
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	Nov 29, 2018	Domain GeneralizationImage Classification	CodeCode Available	1
The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity	Nov 1, 2018	ArticlesDomain Generalization	CodeCode Available	0
Domain Generalization with Domain-Specific Aggregation Modules	Sep 28, 2018	Domain Generalization	—Unverified	0
Domain Generalization via Invariant Representation under Domain-Class Dependency	Sep 27, 2018	Domain Generalization	—Unverified	0
Deep Domain Generalization via Conditional Invariant Adversarial Networks	Sep 1, 2018	Domain GeneralizationRepresentation Learning	—Unverified	0
Hallucinating Agnostic Images to Generalize Across Domains	Aug 3, 2018	Domain AdaptationDomain Generalization	CodeCode Available	0
Deep Graph Laplacian Regularization for Robust Denoising of Real Images	Jul 31, 2018	DenoisingDomain Generalization	CodeCode Available	0
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net	Jul 25, 2018	All-day Semantic SegmentationDomain Adaptation	CodeCode Available	1
Domain Generalization via Conditional Invariant Representation	Jul 23, 2018	Domain Generalization	—Unverified	0
Domain2Vec: Deep Domain Generalization	Jul 9, 2018	Domain Generalizationimage-classification	—Unverified	0
Best sources forward: domain generalization through source-specific nets	Jun 15, 2018	Domain AdaptationDomain Generalization	—Unverified	0
Domain Generalization With Adversarial Feature Learning	Jun 1, 2018	Domain Generalization	—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