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 751800 of 1751 papers

TitleStatusHype
Frequency-Based Federated Domain Generalization for Polyp SegmentationCode0
Deep Spatial Domain GeneralizationCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain GeneralizationCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text SummarizationCode0
Learning to Generalize for Cross-domain QACode0
Domain Separation NetworksCode0
A separability-based approach to quantifying generalization: which layer is best?Code0
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationCode0
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
Conditional entropy minimization principle for learning domain invariant representation featuresCode0
Joint covariate-alignment and concept-alignment: a framework for domain generalizationCode0
Domain-Inspired Sharpness-Aware Minimization Under Domain ShiftsCode0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Domain-independent detection of known anomaliesCode0
Domain-Guided Weight Modulation for Semi-Supervised Domain GeneralizationCode0
Language-Driven Dual Style Mixing for Single-Domain Generalized Object DetectionCode0
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir ComputingCode0
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language ModelsCode0
Domain Generalized Object Detection for Remote Sensing ImagesCode0
Artifact-Based Domain Generalization of Skin Lesion ModelsCode0
Domain Generalization with Vital Phase AugmentationCode0
A review of domain adaptation without target labelsCode0
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual ClassificationCode0
Information Subtraction: Learning Representations for Conditional EntropyCode0
Mixstyle-Entropy: Domain Generalization with Causal Intervention and PerturbationCode0
Domain Generalization with Fourier Transform and Soft ThresholdingCode0
Domain Generalization with Correlated Style UncertaintyCode0
A Cross-Domain Transferable Neural Coherence ModelCode0
Invariant Models for Causal Transfer LearningCode0
Improving Domain Generalization by Learning without Forgetting: Application in Retail CheckoutCode0
Domain Generalization via Semi-supervised Meta LearningCode0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain GeneralizationCode0
Collaborative Semantic Aggregation and Calibration for Federated Domain GeneralizationCode0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
Domain Generalization via Nuclear Norm RegularizationCode0
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater EnvironmentsCode0
Improving Generalization with Domain Convex GameCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Domain generalization via invariant feature representationCode0
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained ModelsCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
Identifying Knowledge Editing Types in Large Language ModelsCode0
Rethinking Table Instruction TuningCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot GeneralizationCode0
Show:102550
← PrevPage 16 of 36Next →

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