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 751–800 of 1751 papers

TitleStatusHype
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning—0
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization—0
Is Multiple Object Tracking a Matter of Specialization?—0
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition—0
PARDON: Privacy-Aware and Robust Federated Domain GeneralizationCode0
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection—0
Beyond Interpretability: The Gains of Feature Monosemanticity on Model RobustnessCode0
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs—0
RARe: Retrieval Augmented Retrieval with In-Context ExamplesCode0
Prompt Diffusion Robustifies Any-Modality Prompt Learning—0
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationCode0
How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?—0
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text SummarizationCode0
Towards Combating Frequency Simplicity-biased Learning for Domain GeneralizationCode0
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning—0
Tackling domain generalization for out-of-distribution endoscopic imaging—0
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar—0
FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningCode0
Distribution-aware Noisy-label Crack SegmentationCode0
Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification—0
Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification—0
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models—0
In Search of Forgotten Domain Generalization—0
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing—0
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual ClassificationCode0
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein EstimatorCode0
Frequency-Based Federated Domain Generalization for Polyp SegmentationCode0
Identifying Knowledge Editing Types in Large Language ModelsCode0
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets—0
Exploring Language Model Generalization in Low-Resource Extractive QACode0
Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations—0
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain SchedulerCode0
Benchmarking Domain Generalization Algorithms in Computational PathologyCode0
AXCEL: Automated eXplainable Consistency Evaluation using LLMs—0
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization—0
Soft Segmented Randomization: Enhancing Domain Generalization in SAR-ATR for Synthetic-to-Measured—0
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures—0
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation—0
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification—0
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency—0
Mixture of Prompt Learning for Vision Language Models—0
SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal ConsistencyCode0
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator LearningCode0
Template-based Multi-Domain Face Recognition—0
Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognition—0
Frequency Tracking Features for Data-Efficient Deep Siren IdentificationCode0
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation—0
Non-Invasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization—0
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks—0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
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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