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 476–500 of 1751 papers

Title	Date	Tasks	Status	Hype
Style Normalization and Restitution for Domain Generalization and Adaptation	Jan 3, 2021	DisentanglementDomain Adaptation	CodeCode Available	1
Causal Balancing for Domain Generalization	Jun 10, 2022	Domain Generalization	CodeCode Available	1
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning	Dec 1, 2022	Domain GeneralizationQuestion Answering	CodeCode Available	1
Efficient and Effective Augmentation Strategy for Adversarial Training	Oct 27, 2022	Computational EfficiencyDomain Generalization	CodeCode Available	1
Unlocking Emergent Modularity in Large Language Models	Oct 17, 2023	Domain GeneralizationTransfer Learning	CodeCode Available	1
Task-Aware Clustering for Prompting Vision-Language Models	Jan 1, 2025	ClusteringDomain Generalization	CodeCode Available	1
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval	Aug 20, 2024	Domain GeneralizationLanguage Modeling	CodeCode Available	1
Domain Generalization by Learning and Removing Domain-specific Features	Dec 14, 2022	DecoderDomain Generalization	CodeCode Available	1
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation	Jul 10, 2021	AnatomyDomain Adaptation	CodeCode Available	1
ERM++: An Improved Baseline for Domain Generalization	Apr 4, 2023	Domain Generalization	CodeCode Available	1
Domain Generalization by Mutual-Information Regularization with Pre-trained Models	Mar 21, 2022	Domain Generalization	CodeCode Available	1
Causality Inspired Representation Learning for Domain Generalization	Mar 27, 2022	Domain GeneralizationRepresentation Learning	CodeCode Available	1
An Empirical Framework for Domain Generalization in Clinical Settings	Mar 20, 2021	Domain GeneralizationTime Series	CodeCode Available	1
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation	Nov 24, 2021	Data AugmentationDomain Generalization	CodeCode Available	1
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting	Jul 19, 2022	Domain GeneralizationMultiple Object Tracking	CodeCode Available	1
Which Invariance Should We Transfer? A Causal Minimax Learning Approach	Jul 5, 2021	Domain Generalization	CodeCode Available	1
Dual-stream Feature Augmentation for Domain Generalization	Sep 7, 2024	Contrastive LearningDomain Generalization	CodeCode Available	1
Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization	Aug 19, 2021	Contrastive LearningDomain Generalization	CodeCode Available	1
Toward Real-world Single Image Deraining: A New Benchmark and Beyond	Jun 11, 2022	Domain GeneralizationImage Restoration	CodeCode Available	1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation	Nov 22, 2022	DisentanglementDomain Generalization	CodeCode Available	1
Dynamic Domain Generalization	May 27, 2022	Domain Generalization	CodeCode Available	1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline	Dec 20, 2022	3D Semantic SegmentationDomain Adaptation	CodeCode Available	1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing	Oct 17, 2023	3D Object DetectionDomain Adaptation	CodeCode Available	1
Dynamic Domain Adaptation for Efficient Inference	Mar 26, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
FSDR: Frequency Space Domain Randomization for Domain Generalization	Mar 3, 2021	Domain AdaptationDomain Generalization	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