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 401450 of 1751 papers

TitleStatusHype
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and BeyondCode1
Dynamic Domain GeneralizationCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
Aggregated Residual Transformations for Deep Neural NetworksCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
Adaptive High-Frequency Transformer for Diverse Wildlife Re-IdentificationCode1
Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain TransferCode1
Orthogonal Projection LossCode1
Domain-Unified Prompt Representations for Source-Free Domain GeneralizationCode1
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive LearningCode1
Discovering environments with XRMCode1
Beyond Normal: On the Evaluation of Mutual Information EstimatorsCode1
DPStyler: Dynamic PromptStyler for Source-Free Domain GeneralizationCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationCode1
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch RecognitionCode1
SWAD: Domain Generalization by Seeking Flat MinimaCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
PGrad: Learning Principal Gradients For Domain GeneralizationCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
Domain-Specific Bias Filtering for Single Labeled Domain GeneralizationCode1
Disentangling Masked Autoencoders for Unsupervised Domain GeneralizationCode1
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud AnalysisCode1
Probable Domain Generalization via Quantile Risk MinimizationCode1
Progressive Domain Expansion Network for Single Domain GeneralizationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
DomainLab: A modular Python package for domain generalization in deep learningCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal ShiftCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
DIVA: Domain Invariant Variational AutoencodersCode1
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning ParadigmCode1
Prompt Vision Transformer for Domain GeneralizationCode1
Provable Domain Generalization via Invariant-Feature Subspace RecoveryCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!Code1
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain DatasetsCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Dual Distribution Alignment Network for Generalizable Person Re-IdentificationCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Read-only Prompt Optimization for Vision-Language Few-shot LearningCode1
Domain Generalization via Shuffled Style Assembly for Face Anti-SpoofingCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersCode1
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
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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