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 1401–1450 of 1751 papers

TitleStatusHype
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency DomainCode1
Feature Stylization and Domain-aware Contrastive Learning for Domain GeneralizationCode1
0.8% Nyquist computational ghost imaging via non-experimental deep learning—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing—0
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation—0
Domain Generalization via Gradient SurgeryCode1
Addressing materials' microstructure diversity using transfer learning—0
Adaptation and Generalization for Unknown Sensitive Factors of Variations—0
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift—0
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference—0
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation—0
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains—0
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing—0
Towards Unsupervised Domain Generalization—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains—0
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
On the Challenges of Open World Recognitionunder Shifting Visual DomainsCode1
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning—0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
MixStyle Neural Networks for Domain Generalization and Adaptation—0
Which Invariance Should We Transfer? A Causal Minimax Learning ApproachCode1
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition—0
Global Filter Networks for Image ClassificationCode1
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization—0
Dual Reweighting Domain Generalization for Face Presentation Attack Detection—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Critically examining the Domain Generalizability of Facial Expression Recognition models—0
Deep Learning for Face Anti-Spoofing: A SurveyCode1
VOLO: Vision Outlooker for Visual RecognitionCode1
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections—0
Adversarial Invariant LearningCode0
Person30K: A Dual-Meta Generalization Network for Person Re-Identification—0
Quality-Agnostic Image Recognition via Invertible DecoderCode0
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments—0
On Invariance Penalties for Risk Minimization—0
X-FACT: A New Benchmark Dataset for Multilingual Fact CheckingCode1
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs—0
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL—0
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization—0
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation—0
Harmonization with Flow-based Causal InferenceCode0
Invariant Information Bottleneck for Domain Generalization—0
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksCode1
Towards a Theoretical Framework of Out-of-Distribution Generalization—0
Adversarial Semantic Hallucination for Domain Generalized Semantic SegmentationCode0
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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