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	Hype
Robust Place Categorization with Deep Domain Generalization	May 30, 2018	Domain AdaptationDomain Generalization	CodeCode Available	0
AutoAugment: Learning Augmentation Policies from Data	May 24, 2018	Data AugmentationDomain Generalization	CodeCode Available	3
Generalizing Across Domains via Cross-Gradient Training	Apr 28, 2018	Data AugmentationDomain Adaptation	CodeCode Available	0
Kernel Embedding Approaches to Orbit Determination of Spacecraft Clusters	Mar 1, 2018	Domain Generalization	—Unverified	0
Domain Generalization by Marginal Transfer Learning	Nov 21, 2017	Domain GeneralizationGeneral Classification	CodeCode Available	0
mixup: Beyond Empirical Risk Minimization	Oct 25, 2017	Domain GeneralizationImage Classification	CodeCode Available	1
Learning to Generalize: Meta-Learning for Domain Generalization	Oct 10, 2017	Domain Generalizationimage-classification	CodeCode Available	1
Deeper, Broader and Artier Domain Generalization	Oct 9, 2017	Domain Generalization	CodeCode Available	1
Unified Deep Supervised Domain Adaptation and Generalization	Sep 28, 2017	Domain AdaptationDomain Generalization	CodeCode Available	0
Deep Shape Matching	Sep 11, 2017	Domain GeneralizationImage Retrieval	CodeCode Available	0
Improved Regularization of Convolutional Neural Networks with Cutout	Aug 15, 2017	Data AugmentationDomain Generalization	CodeCode Available	1
Aggregated Residual Transformations for Deep Neural Networks	Nov 16, 2016	Domain GeneralizationGeneral Classification	CodeCode Available	1
Domain Separation Networks	Aug 22, 2016	Domain AdaptationDomain Generalization	CodeCode Available	0
Semantic Clustering for Robust Fine-Grained Scene Recognition	Jul 26, 2016	ClusteringDomain Generalization	—Unverified	0
Deep CORAL: Correlation Alignment for Deep Domain Adaptation	Jul 6, 2016	Domain AdaptationDomain Generalization	CodeCode Available	1
Learning Attributes Equals Multi-Source Domain Generalization	May 3, 2016	AttributeDomain Generalization	—Unverified	0
Deep Residual Learning for Image Recognition	Dec 10, 2015	Classification	CodeCode Available	4
Multi-View Domain Generalization for Visual Recognition	Dec 1, 2015	Domain AdaptationDomain Generalization	—Unverified	0
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization	Oct 15, 2015	Domain AdaptationDomain Generalization	—Unverified	0
Domain Generalization for Object Recognition with Multi-task Autoencoders	Aug 31, 2015	DenoisingDomain Generalization	CodeCode Available	1
Invariant Models for Causal Transfer Learning	Jul 19, 2015	Domain GeneralizationTransfer Learning	CodeCode Available	0
Using Tweets to Help Sentence Compression for News Highlights Generation	Jul 1, 2015	Document SummarizationDomain Generalization	—Unverified	0
Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach	Jun 1, 2015	Domain Generalization	—Unverified	0
Domain-Adversarial Training of Neural Networks	May 28, 2015	Domain AdaptationDomain Generalization	CodeCode Available	1
Very Deep Convolutional Networks for Large-Scale Image Recognition	Sep 4, 2014	Activity Recognition In VideosClassification	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