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 1326–1350 of 1751 papers

TitleStatusHype
Style Variable and Irrelevant Learning for Generalizable Person Re-identificationCode0
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition—0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification—0
Generalization in Neural Networks: A Broad Survey—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
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationCode0
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization—0
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction—0
Artifact-Based Domain Generalization of Skin Lesion ModelsCode0
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks—0
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization—0
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives—0
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization—0
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization—0
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift—0
Adaptive Domain Generalization via Online Disagreement Minimization—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—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