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 701750 of 1751 papers

TitleStatusHype
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationCode0
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-SpoofingCode0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
Enhance the Visual Representation via Discrete Adversarial TrainingCode0
Learning to Learn Single Domain GeneralizationCode0
Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationCode0
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain GeneralizationCode0
Cooperative Learning of Disjoint Syntax and SemanticsCode0
Learning to Generalize for Cross-domain QACode0
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation TriadCode0
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
EllSeg-Gen, towards Domain Generalization for head-mounted eyetrackingCode0
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain SchedulerCode0
Learning Semantic Role Labeling from Compatible Label SequencesCode0
Learning Optimal Features via Partial InvarianceCode0
Back-to-Bones: Rediscovering the Role of Backbones in Domain GeneralizationCode0
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic SegmentationCode0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior KnowledgeCode0
Learning Fine-grained Domain Generalization via Hyperbolic State Space HallucinationCode0
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain AdaptationCode0
Consistency Regularization for Domain Generalization with Logit Attribution MatchingCode0
A Study on Domain Generalization for Failure Detection through Human Reactions in HRICode0
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary SegmentationCode0
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training DataCode0
Activation Regression for Continuous Domain Generalization with Applications to Crop ClassificationCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
OpenStance: Real-world Zero-shot Stance DetectionCode0
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationCode0
Assessing out-of-domain generalization for robust building damage detectionCode0
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain GeneralizationCode0
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
Language-Driven Dual Style Mixing for Single-Domain Generalized Object DetectionCode0
Joint covariate-alignment and concept-alignment: a framework for domain generalizationCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
IRS: Incremental Relationship-guided Segmentation for Digital PathologyCode0
Invariant Models for Causal Transfer LearningCode0
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain GeneralizationCode0
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text SummarizationCode0
Barycentric-alignment and reconstruction loss minimization for domain generalizationCode0
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir ComputingCode0
Domain Separation NetworksCode0
A separability-based approach to quantifying generalization: which layer is best?Code0
Mixstyle-Entropy: Domain Generalization with Causal Intervention and PerturbationCode0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary EnvironmentCode0
Conditional entropy minimization principle for learning domain invariant representation featuresCode0
Domain-Inspired Sharpness-Aware Minimization Under Domain ShiftsCode0
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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