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 1651–1700 of 1751 papers

TitleStatusHype
Feature Alignment and Restoration for Domain Generalization and Adaptation—0
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations—0
Enforcing Predictive Invariance across Structured Biomedical Domains—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
Novel Human-Object Interaction Detection via Adversarial Domain Generalization—0
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudyCode0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
Improving Semantic Segmentation via Self-Training—0
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics—0
WQT and DG-YOLO: towards domain generalization in underwater object detection—0
On the interplay between physical and content priors in deep learning for computational imaging—0
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese NetworksCode0
Sequential Learning for Domain Generalization—0
Improving out-of-distribution generalization via multi-task self-supervised pretraining—0
Learning to Learn Single Domain GeneralizationCode0
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data—0
Domain Adaptive Ensemble Learning—0
Explainable Deep Classification Models for Domain Generalization—0
Deep Domain-Adversarial Image Generation for Domain Generalisation—0
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization—0
Improve Unsupervised Domain Adaptation with Mixup Training—0
VideoDG: Generalizing Temporal Relations in Videos to Novel DomainsCode0
Angular Visual Hardness—0
Correlation-aware Adversarial Domain Adaptation and Generalization—0
Regularized Fine-grained Meta Face Anti-spoofingCode0
Adversarial Examples Improve Image RecognitionCode0
Domain Generalization Using a Mixture of Multiple Latent DomainsCode0
Generalizing to unseen domains via distribution matchingCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data ScarcityCode0
Reducing Domain Gap by Reducing Style BiasCode0
Domain-agnostic Question-Answering with Adversarial TrainingCode0
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation—0
A Theory of Relation Learning and Cross-domain Generalization—0
Learning to Generalize One Sample at a Time with Self-Supervision—0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning—0
Attention Bridging Network for Knowledge Transfer—0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization—0
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training—0
Stablizing Adversarial Invariance Induction by Discriminator Matching—0
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization—0
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data—0
Domain Generalization via Multidomain Discriminant Analysis—0
Universal Person Re-Identification—0
Cross-Domain Generalization of Neural Constituency ParsersCode0
Learning to Optimize Domain Specific Normalization for Domain Generalization—0
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control—0
Tackling Partial Domain Adaptation with Self-Supervision—0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
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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