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 551–600 of 1751 papers

TitleStatusHype
Causality-inspired Latent Feature Augmentation for Single Domain Generalization—0
Causality-based Dual-Contrastive Learning Framework for Domain Generalization—0
Domain Generalization by Learning from Privileged Medical Imaging Information—0
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
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised 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
Few-shot Adaptation of Multi-modal Foundation Models: A Survey—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
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification—0
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs—0
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization—0
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites—0
Domain Agnostic Few-shot Learning for Speaker Verification—0
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design—0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization—0
A microservice-based framework for exploring data selection in cross-building knowledge transfer—0
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies—0
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge—0
CADG: A Model Based on Cross Attention for Domain Generalization—0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
Domain Adversarial Active Learning for Domain Generalization Classification—0
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
Domain Adaptive Ensemble Learning—0
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge—0
C^3DG: Conditional Domain Generalization for Hyperspectral Imagery Classification with Convergence and Constrained-risk Theories—0
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey—0
Domain2Vec: Deep Domain Generalization—0
DoGE: Domain Reweighting with Generalization Estimation—0
Bridging the Generalization Gap in Text-to-SQL Parsing with Schema Expansion—0
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing—0
Few-Shot Object Detection in Unseen Domains—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