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

Showing 15011550 of 1751 papers

TitleStatusHype
Domain Generalization using Ensemble Learning0
AI Fairness via Domain Adaptation0
Treatment Effect Estimation using Invariant Risk MinimizationCode1
Uncertainty-guided Model Generalization to Unseen Domains0
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image AnalysisCode1
FSDR: Frequency Space Domain Randomization for Domain GeneralizationCode1
Domain Generalization: A Survey0
Group-wise Inhibition based Feature Regularization for Robust ClassificationCode1
Generalizing to Unseen Domains: A Survey on Domain Generalization0
Domain Generalization via Inference-time Label-Preserving Target Projections0
Neuron Coverage-Guided Domain Generalization0
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization0
Self-Domain Adaptation for Face Anti-Spoofing0
A microservice-based framework for exploring data selection in cross-building knowledge transfer0
Model-Based Domain GeneralizationCode1
On Calibration and Out-of-domain Generalization0
Transferability of Neural Network Clinical De-identification Systems0
Robust Domain-Free Domain Generalization with Class-aware Alignment0
SWAD: Domain Generalization by Seeking Flat MinimaCode1
Robust White Matter Hyperintensity Segmentation on Unseen DomainCode0
Domain Invariant Representation Learning with Domain Density TransformationsCode1
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveCode0
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentationCode1
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization0
Rethinking Domain Generalization Baselines0
Magnification Generalization for Histopathology Image EmbeddingCode0
Style Normalization and Restitution for Domain Generalization and AdaptationCode1
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions0
A Simple Feature Augmentation for Domain Generalization0
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation0
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification0
Domain-Invariant Disentangled Network for Generalizable Object Detection0
Variational Invariant Learning for Bayesian Domain Generalization0
Domain-Free Adversarial Splitting for Domain Generalization0
Invariant Batch Normalization for Multi-source Domain Generalization0
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains0
Uncertain Out-of-Domain Generalization0
MASKER: Masked Keyword Regularization for Reliable Text ClassificationCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Towards Recognizing New Semantic Concepts in New Visual DomainsCode1
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization0
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System0
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-IdentificationCode1
Domain Generalization via Entropy RegularizationCode1
Meta Batch-Instance Normalization for Generalizable Person Re-IdentificationCode1
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing0
Batch Normalization Embeddings for Deep Domain Generalization0
Multi-Domain Adversarial Feature Generalization for Person Re-Identification0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection0
Show:102550
← PrevPage 31 of 36Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450Unverified
2VOLO-D5Accuracy - All Images57.2Unverified
3ConvNeXt-BAccuracy - All Images53.5Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1Unverified
9ViT-16/L-224Accuracy - All Images49Unverified
10ResNet-50 (gn)Accuracy - All Images48.9Unverified