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

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Showing 326–350 of 1751 papers

Title	Date	Tasks	Status	Hype	Score
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation	Apr 29, 2021	ClassificationCross-Domain Few-Shot	CodeCode Available	1	5
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation	Jan 23, 2020	ClassificationCross-Domain Few-Shot	CodeCode Available	1	5
Attention Diversification for Domain Generalization	Oct 9, 2022	Domain Generalization	CodeCode Available	1	5
Cross-domain Generalization for AMR Parsing	Oct 22, 2022	Abstract Meaning RepresentationAMR Parsing	CodeCode Available	1	5
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective	Aug 10, 2020	Domain GeneralizationRepresentation Learning	CodeCode Available	1	5
Domain generalization of 3D semantic segmentation in autonomous driving	Dec 7, 2022	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1	5
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing	Jul 16, 2025	Domain GeneralizationFace Anti-Spoofing	CodeCode Available	1	5
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play	Oct 21, 2022	Domain GeneralizationSQL-to-Text	CodeCode Available	1	5
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts	Nov 6, 2024	Domain GeneralizationOut of Distribution (OOD) Detection	CodeCode Available	1	5
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty	Dec 5, 2019	Domain Generalizationimage-classification	CodeCode Available	1	5
Domain Generalization using Causal Matching	Jun 12, 2020	Data AugmentationDomain Generalization	CodeCode Available	1	5
A Broad Study of Pre-training for Domain Generalization and Adaptation	Mar 22, 2022	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Domain Generalization via Entropy Regularization	Dec 1, 2020	Domain Generalization	CodeCode Available	1	5
A Universal Representation Transformer Layer for Few-Shot Image Classification	Jun 21, 2020	ClassificationDomain Generalization	CodeCode Available	1	5
Invariant Risk Minimization	Jul 5, 2019	Domain GeneralizationImage Classification	CodeCode Available	1	5
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation	Jul 18, 2023	Domain GeneralizationImage Segmentation	CodeCode Available	1	5
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer	Jul 25, 2022	ClassificationDomain Generalization	CodeCode Available	1	5
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features	May 13, 2019	Domain GeneralizationImage Captioning	CodeCode Available	1	5
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing	Mar 10, 2022	Contrastive LearningDomain Generalization	CodeCode Available	1	5
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation	Mar 13, 2022	3D Part SegmentationDomain Generalization	CodeCode Available	1	5
Domain Generalization via Rationale Invariance	Aug 22, 2023	Decision MakingDomain Generalization	CodeCode Available	1	5
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation	Feb 2, 2021	Data AugmentationDomain Adaptation	CodeCode Available	1	5
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks	Feb 28, 2023	Domain Generalization	CodeCode Available	1	5
Deep Stable Learning for Out-Of-Distribution Generalization	Apr 16, 2021	Domain GeneralizationOut-of-Distribution Generalization	CodeCode Available	1	5
DEJA VU: Continual Model Generalization For Unseen Domains	Jan 25, 2023	Data AugmentationDomain Adaptation	CodeCode Available	1	5

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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