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 1351–1375 of 1751 papers

Title	Date	Tasks	Status	Hype
Discrepancy-Optimal Meta-Learning for Domain Generalization	Sep 29, 2021	Bilevel OptimizationDomain Generalization	—Unverified	0
Loss Function Learning for Domain Generalization by Implicit Gradient	Sep 29, 2021	Domain GeneralizationMeta-Learning	—Unverified	0
Latent Feature Disentanglement For Visual Domain Generalization	Sep 29, 2021	Data AugmentationDisentanglement	—Unverified	0
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification	Sep 29, 2021	Cross-Domain Few-ShotDomain Generalization	—Unverified	0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks	Sep 29, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Towards Robust Domain Generalization in 2D Neural Audio Processing	Sep 29, 2021	Acoustic Scene ClassificationDomain Generalization	—Unverified	0
Directional Domain Generalization	Sep 29, 2021	Domain GeneralizationMeta-Learning	—Unverified	0
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization	Sep 29, 2021	Data AugmentationDomain Generalization	—Unverified	0
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs	Sep 29, 2021	Domain GeneralizationGraph Classification	—Unverified	0
A Rate-Distortion Approach to Domain Generalization	Sep 29, 2021	Contrastive LearningDomain Generalization	—Unverified	0
LASSO: Latent Sub-spaces Orientation for Domain Generalization	Sep 29, 2021	Domain Generalization	—Unverified	0
Cross Domain Ensemble Distillation for Domain Generalization	Sep 29, 2021	Domain Generalizationimage-classification	—Unverified	0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation	Sep 29, 2021	Domain GeneralizationFew-Shot Learning	—Unverified	0
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation	Sep 29, 2021	DiversityDomain Generalization	—Unverified	0
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets	Sep 27, 2021	Domain Generalization	CodeCode Available	1
Disentangled Feature Representation for Few-shot Image Classification	Sep 26, 2021	BenchmarkingClassification	CodeCode Available	1
Domain Generalization for Vision-based Driving Trajectory Generation	Sep 22, 2021	Autonomous VehiclesDecoder	CodeCode Available	1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation	Sep 19, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation	Sep 18, 2021	Domain GeneralizationImage Segmentation	CodeCode Available	1
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation	Sep 15, 2021	Domain AdaptationDomain Generalization	—Unverified	0
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding	Sep 13, 2021	Adversarial RobustnessAll	CodeCode Available	1
Shape-Biased Domain Generalization via Shock Graph Embeddings	Sep 13, 2021	Domain GeneralizationGraph Neural Network	—Unverified	0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation	Sep 13, 2021	Data AugmentationDomain Generalization	CodeCode Available	0
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation	Sep 13, 2021	DecoderDomain Generalization	CodeCode Available	1
Variational Disentanglement for Domain Generalization	Sep 13, 2021	DisentanglementDomain 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