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 1601–1650 of 1751 papers

TitleStatusHype
Magnification Generalization for Histopathology Image EmbeddingCode0
Invariant Batch Normalization for Multi-source Domain Generalization—0
A Simple Feature Augmentation for Domain Generalization—0
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains—0
Variational Invariant Learning for Bayesian Domain Generalization—0
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation—0
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions—0
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification—0
Uncertain Out-of-Domain Generalization—0
Domain-Free Adversarial Splitting for Domain Generalization—0
Domain-Invariant Disentangled Network for Generalizable Object Detection—0
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization—0
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System—0
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing—0
Batch Normalization Embeddings for Deep Domain Generalization—0
Multi-Domain Adversarial Feature Generalization for Person Re-Identification—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
Assessing out-of-domain generalization for robust building damage detectionCode0
A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning—0
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity ClassificationCode0
Domain Generalization in Biosignal Classification—0
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging—0
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain ValidationCode0
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification—0
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?—0
Posterior Differential Regularization with f-divergence for Improving Model Robustness—0
Meta-Learning for Domain Generalization in Semantic Parsing—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization—0
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers—0
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen DatasetsCode0
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images—0
Explaining The Efficacy of Counterfactually Augmented Data—0
DecAug: Augmenting HOI Detection via Decomposition—0
Exchanging Lessons Between Algorithmic Fairness and Domain Generalization—0
Domain Generalization via Semi-supervised Meta LearningCode0
Heterogeneous Domain Generalization via Domain MixupCode0
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information—0
Zero Shot Domain GeneralizationCode0
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia—0
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay ScoringCode0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors—0
Self-Supervised Learning Across Domains—0
Accounting for Unobserved Confounding in Domain Generalization—0
Domain Generalization via Optimal Transport with Metric Similarity Learning—0
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization—0
Learning to Learn with Variational Information Bottleneck for Domain Generalization—0
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint—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