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 551–575 of 1751 papers

TitleStatusHype
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection—0
Causal Feature Selection for Responsible Machine Learning—0
Domain Generalization: A Survey—0
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction—0
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge—0
Domain Generalization -- A Causal Perspective—0
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs—0
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis—0
Federated Domain Generalization: A Survey—0
Federated Learning with Domain Generalization—0
Domain Generalizable Person Search Using Unreal Dataset—0
Analyse s\'emantique robuste par apprentissage antagoniste pour la g\'en\'eralisation de domaine (Robust Semantic Parsing with Adversarial Learning for Domain Generalization )—0
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention—0
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading—0
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation—0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation—0
Domain-Free Adversarial Splitting for Domain Generalization—0
Enforcing Predictive Invariance across Structured Biomedical Domains—0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
CAT: Class Aware Adaptive Thresholding for Semi-Supervised Domain Generalization—0
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification—0
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?—0
A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation—0
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—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