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 1301–1350 of 1751 papers

TitleStatusHype
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion—0
Generalizable Person Search on Open-world User-Generated Video Content—0
Generalizable Re-Identification from Videos with Cycle Association—0
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing—0
Accounting for Unobserved Confounding in Domain Generalization—0
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning—0
Generalization in Neural Networks: A Broad Survey—0
Generalization of feature embeddings transferred from different video anomaly detection domains—0
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections—0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness—0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
Generalizing across Temporal Domains with Koopman Operators—0
A Systematic Review of Generalization Research in Medical Image Classification—0
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data—0
Adaptation and Generalization for Unknown Sensitive Factors of Variations—0
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation—0
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning—0
Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes—0
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing—0
Generalizing to Unseen Domains: A Survey on Domain Generalization—0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets—0
Generative Classifier for Domain Generalization—0
Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation—0
GLAD: Generalizable Tuning for Vision-Language Models—0
GLIDER: Grading LLM Interactions and Decisions using Explainable Ranking—0
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation—0
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models—0
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models—0
Graph Augmentation for Cross Graph Domain Generalization—0
Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization—0
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work—0
HARD: Hard Augmentations for Robust Distillation—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
Harmonizing and Merging Source Models for CLIP-based Domain Generalization—0
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization—0
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization—0
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization—0
Hospital-Agnostic Image Representation Learning in Digital Pathology—0
How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?—0
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding—0
iBARLE: imBalance-Aware Room Layout Estimation—0
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning—0
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation—0
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology—0
iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—0
Improve Unsupervised Domain Adaptation with Mixup Training—0
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach—0
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control—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