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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1126–1150 of 1751 papers

TitleStatusHype
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
DocuT5: Seq2seq SQL Generation with Table Documentation—0
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?—0
DoGE: Domain Reweighting with Generalization Estimation—0
Domain2Vec: Deep Domain Generalization—0
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey—0
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge—0
Domain Adaptive Ensemble Learning—0
Domain Adversarial Active Learning for Domain Generalization Classification—0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge—0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization—0
Domain Agnostic Few-shot Learning for Speaker Verification—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
Enforcing Predictive Invariance across Structured Biomedical Domains—0
Domain-Free Adversarial Splitting for Domain Generalization—0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation—0
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention—0
Domain Generalizable Person Search Using Unreal Dataset—0
Domain Generalization -- A Causal Perspective—0
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge—0
Domain Generalization: A Survey—0
Domain Generalization by Learning from Privileged Medical Imaging Information—0
Domain Generalization Deep Graph Transformation—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