SOTAVerified

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

Showing 426450 of 1751 papers

TitleStatusHype
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud AnalysisCode1
Probable Domain Generalization via Quantile Risk MinimizationCode1
Progressive Domain Expansion Network for Single Domain GeneralizationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
DomainLab: A modular Python package for domain generalization in deep learningCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal ShiftCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
DIVA: Domain Invariant Variational AutoencodersCode1
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning ParadigmCode1
Prompt Vision Transformer for Domain GeneralizationCode1
Provable Domain Generalization via Invariant-Feature Subspace RecoveryCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!Code1
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain DatasetsCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Dual Distribution Alignment Network for Generalizable Person Re-IdentificationCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Read-only Prompt Optimization for Vision-Language Few-shot LearningCode1
Domain Generalization via Shuffled Style Assembly for Face Anti-SpoofingCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersCode1
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450Unverified
2VOLO-D5Accuracy - All Images57.2Unverified
3ConvNeXt-BAccuracy - All Images53.5Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1Unverified
9ViT-16/L-224Accuracy - All Images49Unverified
10ResNet-50 (gn)Accuracy - All Images48.9Unverified