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 17011750 of 1751 papers

TitleStatusHype
Enriching Patent Claim Generation with European Patent DatasetCode0
Regularized Fine-grained Meta Face Anti-spoofingCode0
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-SpoofingCode0
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation EditsCode0
Enhance the Visual Representation via Discrete Adversarial TrainingCode0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet CategoriesCode0
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding ParadigmCode0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
Hallucinating Agnostic Images to Generalize Across DomainsCode0
EllSeg-Gen, towards Domain Generalization for head-mounted eyetrackingCode0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification TrackCode0
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
Rethinking Domain Generalization: Discriminability and GeneralizabilityCode0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain GeneralizationCode0
Cooperative Learning of Disjoint Syntax and SemanticsCode0
TripleE: Easy Domain Generalization via Episodic ReplayCode0
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text SummarizationCode0
Domain Separation NetworksCode0
Domain-Inspired Sharpness-Aware Minimization Under Domain ShiftsCode0
Rethinking Robustness in Machine Learning: A Posterior Agreement ApproachCode0
Rethinking Table Instruction TuningCode0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Domain-independent detection of known anomaliesCode0
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data AugmentationCode0
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus ImagesCode0
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in ClassificationCode0
Adversarial Teacher-Student Representation Learning for Domain GeneralizationCode0
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior KnowledgeCode0
Consistency Regularization for Domain Generalization with Logit Attribution MatchingCode0
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster AssignmentCode0
Domain-Guided Weight Modulation for Semi-Supervised Domain GeneralizationCode0
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater EnvironmentsCode0
Conditional entropy minimization principle for learning domain invariant representation featuresCode0
Robust AI-Generated Face Detection with Imbalanced DataCode0
Domain Generalized Object Detection for Remote Sensing ImagesCode0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapCode0
Domain Generalization with Vital Phase AugmentationCode0
When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveCode0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
Robust Fine-Tuning of Vision-Language Models for Domain GeneralizationCode0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
Domain Generalization with Fourier Transform and Soft ThresholdingCode0
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language ModelsCode0
Domain Generalization with Correlated Style UncertaintyCode0
Domain Generalization via Semi-supervised Meta LearningCode0
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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