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 1051–1075 of 1751 papers

Title	Date	Tasks	Status	Hype
Learning to Augment via Implicit Differentiation for Domain Generalization	Oct 25, 2022	Data AugmentationDomain Generalization	—Unverified	0
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations	Oct 25, 2022	Data AugmentationDisentanglement	CodeCode Available	0
Toward domain generalized pruning by scoring out-of-distribution importance	Oct 25, 2022	Domain Generalization	—Unverified	0
MetaFormer Baselines for Vision	Oct 24, 2022	Domain GeneralizationImage Classification	CodeCode Available	3
Cross-domain Generalization for AMR Parsing	Oct 22, 2022	Abstract Meaning RepresentationAMR Parsing	CodeCode Available	1
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play	Oct 21, 2022	Domain GeneralizationSQL-to-Text	CodeCode Available	1
Domain generalization Person Re-identification on Attention-aware multi-operation strategery	Oct 19, 2022	Domain GeneralizationPerson Re-Identification	—Unverified	0
Intra-Source Style Augmentation for Improved Domain Generalization	Oct 18, 2022	Autonomous DrivingDiversity	CodeCode Available	1
ODG-Q: Robust Quantization via Online Domain Generalization	Oct 17, 2022	Domain GeneralizationQuantization	—Unverified	0
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population	Oct 14, 2022	Domain GeneralizationKnowledge Base Population	CodeCode Available	1
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization	Oct 14, 2022	Domain GeneralizationRelational Reasoning	—Unverified	0
M2D2: A Massively Multi-domain Language Modeling Dataset	Oct 13, 2022	Domain AdaptationDomain Generalization	CodeCode Available	1
Unified Vision and Language Prompt Learning	Oct 13, 2022	Domain GeneralizationFew-Shot Learning	CodeCode Available	1
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners	Oct 11, 2022	Domain GeneralizationImage Segmentation	—Unverified	0
Attention Diversification for Domain Generalization	Oct 9, 2022	Domain Generalization	CodeCode Available	1
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport	Oct 9, 2022	Domain GeneralizationFew-Shot Learning	—Unverified	0
Constrained Maximum Cross-Domain Likelihood for Domain Generalization	Oct 9, 2022	Domain Generalization	—Unverified	0
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts	Oct 8, 2022	Domain GeneralizationKnowledge Distillation	CodeCode Available	1
Domain Generalization via Contrastive Causal Learning	Oct 6, 2022	Domain Generalization	—Unverified	0
TripleE: Easy Domain Generalization via Episodic Replay	Oct 4, 2022	DiversityDomain Generalization	CodeCode Available	0
Deep Spatial Domain Generalization	Oct 3, 2022	Domain GeneralizationGraph Neural Network	CodeCode Available	0
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer	Oct 3, 2022	Domain GeneralizationFederated Learning	CodeCode Available	1
Probing the Robustness of Pre-trained Language Models for Entity Matching	Oct 1, 2022	Data AugmentationDomain Generalization	CodeCode Available	0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning	Oct 1, 2022	Contrastive LearningCross-Domain Text Classification	CodeCode Available	0
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning	Oct 1, 2022	Data AugmentationDomain 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