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 1326–1350 of 1751 papers

Title	Date	Tasks	Status	Hype
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition	Oct 19, 2021	Action RecognitionActivity Recognition	—Unverified	0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features	Oct 19, 2021	Domain GeneralizationFederated Learning	—Unverified	0
Learning Representations that Support Robust Transfer of Predictors	Oct 19, 2021	Domain GeneralizationOut-of-Distribution Generalization	CodeCode Available	1
Exploiting Domain-Specific Features to Enhance Domain Generalization	Oct 18, 2021	Domain GeneralizationMeta-Learning	CodeCode Available	1
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation	Oct 16, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Invariant Language Modeling	Oct 16, 2021	Domain GeneralizationLanguage Modeling	CodeCode Available	1
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models	Oct 16, 2021	ClassificationDomain Generalization	CodeCode Available	1
Reappraising Domain Generalization in Neural Networks	Oct 15, 2021	Data AugmentationDomain Generalization	—Unverified	0
Domain generalization in deep learning for contrast-enhanced imaging	Oct 14, 2021	AnatomyData Augmentation	—Unverified	0
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization	Oct 13, 2021	Domain Generalization	CodeCode Available	0
Learning Meta Pattern for Face Anti-Spoofing	Oct 13, 2021	Domain GeneralizationFace Anti-Spoofing	CodeCode Available	1
Domain Generalization via Domain-based Covariance Minimization	Oct 12, 2021	Dimensionality ReductionDomain Generalization	—Unverified	0
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization	Oct 10, 2021	Domain GeneralizationPseudo Label	—Unverified	0
Towards Data-Free Domain Generalization	Oct 9, 2021	Data-free Knowledge DistillationDomain Generalization	CodeCode Available	0
Scale Invariant Domain Generalization Image Recapture Detection	Oct 7, 2021	Domain GeneralizationFace Identification	—Unverified	0
The Connection between Out-of-Distribution Generalization and Privacy of ML Models	Oct 7, 2021	Domain GeneralizationOut-of-Distribution Generalization	CodeCode Available	1
Test-time Batch Statistics Calibration for Covariate Shift	Oct 6, 2021	Domain AdaptationDomain Generalization	—Unverified	0
Dynamically Decoding Source Domain Knowledge for Domain Generalization	Oct 6, 2021	DecoderDomain Generalization	—Unverified	0
Focus on the Common Good: Group Distributional Robustness Follows	Oct 6, 2021	Domain Generalization	CodeCode Available	0
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders	Oct 4, 2021	Domain Generalizationvalid	—Unverified	0
Domain-Specific Bias Filtering for Single Labeled Domain Generalization	Oct 2, 2021	Domain Generalization	CodeCode Available	1
Discussion on domain generalization in the cross-device speaker verification system	Oct 1, 2021	Domain GeneralizationSpeaker Verification	—Unverified	0
ResNet strikes back: An improved training procedure in timm	Oct 1, 2021	ClassificationData Augmentation	CodeCode Available	1
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization	Sep 29, 2021	Domain GeneralizationRepresentation Learning	—Unverified	0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition	Sep 29, 2021	Domain AdaptationDomain 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