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

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Showing 1101–1150 of 1751 papers

TitleStatusHype
Generalization in Neural Networks: A Broad Survey—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification—0
Back-to-Bones: Rediscovering the Role of Backbones in Domain GeneralizationCode0
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems—0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Multi tasks RetinaNet for mitosis detection—0
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures—0
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization—0
Bag of Tricks for Out-of-Distribution Generalization—0
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction—0
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization—0
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks—0
Artifact-Based Domain Generalization of Skin Lesion ModelsCode0
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization—0
Prompt Vision Transformer for Domain GeneralizationCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives—0
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization—0
Semantic Self-adaptation: Enhancing Generalization with a Single SampleCode1
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization—0
Adaptive Domain Generalization via Online Disagreement Minimization—0
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—0
Joint covariate-alignment and concept-alignment: a framework for domain generalizationCode0
Benchmarking Azerbaijani Neural Machine Translation—0
Towards Domain-agnostic Depth CompletionCode1
Depth Field Networks for Generalizable Multi-view Scene RepresentationCode2
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Domain-invariant Feature Exploration for Domain Generalization—0
Self-Distilled Vision Transformer for Domain GeneralizationCode0
Domain Decorrelation with Potential Energy RankingCode1
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision TransformerCode1
Domain Generalization for Activity Recognition via Adaptive Feature Fusion—0
Grounding Visual Representations with Texts for Domain GeneralizationCode1
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
Probable Domain Generalization via Quantile Risk MinimizationCode1
Measuring and signing fairness as performance under multiple stakeholder distributions—0
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery TicketsCode0
Tackling Long-Tailed Category Distribution Under Domain ShiftsCode1
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and CountingCode1
Improving Domain Generalization by Learning without Forgetting: Application in Retail CheckoutCode0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
Test-Time Adaptation via Self-Training with Nearest Neighbor InformationCode1
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
Temporal Generalization for Spoken Language Understanding—0
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All datasetsPACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchGTA5 to Cityscapes

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99—Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6—Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9—Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6—Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4—Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3—Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2—Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97—Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8—Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450—Unverified
2VOLO-D5Accuracy - All Images57.2—Unverified
3ConvNeXt-BAccuracy - All Images53.5—Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7—Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5—Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7—Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6—Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1—Unverified
9ViT-16/L-224Accuracy - All Images49—Unverified
10ResNet-50 (gn)Accuracy - All Images48.9—Unverified