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 1176–1200 of 1751 papers

Title	Date	Tasks	Status
Domain Generalization In Robust Invariant Representation	Apr 7, 2023	Domain GeneralizationObject Recognition	CodeCode Available
Meta-causal Learning for Single Domain Generalization	Apr 7, 2023	counterfactualCounterfactual Inference	—Unverified
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts	Apr 7, 2023	Contrastive LearningDomain Generalization	—Unverified
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation	Apr 5, 2023	DiversityDomain Generalization	—Unverified
Randomized Adversarial Style Perturbations for Domain Generalization	Apr 4, 2023	Domain Generalization	—Unverified
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation	Apr 3, 2023	Domain GeneralizationKnowledge Distillation	CodeCode Available
A principled approach to model validation in domain generalization	Apr 2, 2023	ClassificationDomain Generalization	CodeCode Available
CNNs with Multi-Level Attention for Domain Generalization	Apr 2, 2023	ClassificationDomain Generalization	—Unverified
Progressive Random Convolutions for Single Domain Generalization	Apr 2, 2023	DiversityDomain Generalization	—Unverified
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization	Mar 31, 2023	Data AugmentationDomain Generalization	CodeCode Available
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning	Mar 28, 2023	Domain AdaptationDomain Generalization	—Unverified
SDTracker: Synthetic Data Based Multi-Object Tracking	Mar 26, 2023	Domain GeneralizationMulti-Object Tracking	—Unverified
Improving Generalization with Domain Convex Game	Mar 23, 2023	DiversityDomain Generalization	CodeCode Available
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization	Mar 22, 2023	Domain GeneralizationFew-Shot Learning	CodeCode Available
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography	Mar 20, 2023	Domain Generalization	—Unverified
Finding Competence Regions in Domain Generalization	Mar 17, 2023	Domain Generalization	CodeCode Available
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less	Mar 16, 2023	Continual LearningDomain Generalization	—Unverified
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology	Mar 14, 2023	Domain Generalization	—Unverified
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues	Mar 13, 2023	Domain Generalization	—Unverified
Domain Generalization via Nuclear Norm Regularization	Mar 13, 2023	Domain Generalization	CodeCode Available
Modality-Agnostic Debiasing for Single Domain Generalization	Mar 13, 2023	Data AugmentationDomain Generalization	—Unverified
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models	Mar 12, 2023	Domain GeneralizationFew-Shot Learning	—Unverified
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization	Mar 10, 2023	Domain GeneralizationSelf-Supervised Learning	—Unverified
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?	Mar 9, 2023	Domain GeneralizationLanguage Modeling	—Unverified
Adaptive Texture Filtering for Single-Domain Generalized Segmentation	Mar 6, 2023	Domain GeneralizationSemantic Segmentation	CodeCode Available

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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