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 651–675 of 1751 papers

Title	Date	Tasks	Status	Score
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation	Jan 15, 2025	Domain AdaptationDomain Generalization	CodeCode Available	5
Cross-Domain Generalization of Neural Constituency Parsers	Jul 9, 2019	Constituency ParsingDomain Generalization	CodeCode Available	5
Adversarial Examples Improve Image Recognition	Nov 21, 2019	Domain GeneralizationImage Classification	CodeCode Available	5
Learning Semantic Role Labeling from Compatible Label Sequences	May 24, 2023	Domain GeneralizationSemantic Role Labeling	CodeCode Available	5
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification	Mar 24, 2025	Domain Generalizationimage-classification	CodeCode Available	5
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination	Apr 10, 2025	Domain GeneralizationHallucination	CodeCode Available	5
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance	Feb 28, 2024	Autonomous DrivingDomain Adaptation	CodeCode Available	5
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation	Jul 26, 2024	Domain GeneralizationSemantic Segmentation	CodeCode Available	5
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks	Jul 6, 2021	BIG-bench Machine LearningDomain Generalization	CodeCode Available	5
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing	Jun 5, 2025	Domain Generalization	CodeCode Available	5
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation	Jul 1, 2023	DecoderDomain Adaptation	CodeCode Available	5
Learning Optimal Features via Partial Invariance	Jan 28, 2023	Domain Generalization	CodeCode Available	5
Episodic Training for Domain Generalization	Jan 31, 2019	Domain Generalization	CodeCode Available	5
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration	Aug 28, 2023	Domain Generalization	CodeCode Available	5
Enriching Patent Claim Generation with European Patent Dataset	May 18, 2025	Domain Generalization	CodeCode Available	5
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning	Aug 9, 2024	Contrastive LearningDeep Learning	CodeCode Available	5
Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection	May 12, 2025	Domain GeneralizationImage Augmentation	CodeCode Available	5
Exploring Flat Minima for Domain Generalization with Large Learning Rates	Sep 12, 2023	DiversityDomain Generalization	CodeCode Available	5
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval	Dec 6, 2022	Domain GeneralizationNatural Language Inference	CodeCode Available	5
Learning to Learn Single Domain Generalization	Mar 30, 2020	Domain GeneralizationMeta-Learning	CodeCode Available	5
Modularity Trumps Invariance for Compositional Robustness	Jun 15, 2023	Domain Generalizationimage-classification	CodeCode Available	5
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing	Mar 29, 2025	DescriptiveDomain Generalization	CodeCode Available	5
Counterfactual Maximum Likelihood Estimation for Training Deep Networks	Jun 7, 2021	counterfactualDomain Generalization	CodeCode Available	5
Invariant Models for Causal Transfer Learning	Jul 19, 2015	Domain GeneralizationTransfer Learning	CodeCode Available	5
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification	Oct 6, 2024	ClassificationDomain Generalization	CodeCode Available	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