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 1001–1050 of 1751 papers

TitleStatusHype
Domain Generalization with Vital Phase AugmentationCode0
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text ClassificationCode0
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction—0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density DomainsCode0
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning—0
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions—0
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater EnvironmentsCode0
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features—0
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models—0
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control—0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images—0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing—0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization—0
Rescuing referral failures during automated diagnosis of domain-shifted medical images—0
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous DrivingCode0
MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization—0
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain GeneralizationCode0
Introducing 3DCNN ResNets for ASD full-body kinematic assessment: a comparison with hand-crafted features—0
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyCode0
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot LearningCode0
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images—0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
MADG: Margin-based Adversarial Learning for Domain Generalization—0
Domain Generalization by Learning from Privileged Medical Imaging Information—0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image SegmentationCode0
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization—0
Robust Fine-Tuning of Vision-Language Models for Domain GeneralizationCode0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
StableFDG: Style and Attention Based Learning for Federated Domain Generalization—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved GeneralizationCode0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection—0
Domain Generalization in Computational Pathology: Survey and Guidelines—0
Generalizing to Unseen Domains in Diabetic Retinopathy ClassificationCode0
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions—0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID—0
Towards contrast-agnostic soft segmentation of the spinal cordCode0
DoGE: Domain Reweighting with Generalization Estimation—0
Generalizable Person Search on Open-world User-Generated Video Content—0
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters—0
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction—0
Improving mitosis detection on histopathology images using large vision-language models—0
Domain Generalization by Rejecting Extreme AugmentationsCode0
Activate and Reject: Towards Safe Domain Generalization under Category Shift—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