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 251300 of 1751 papers

TitleStatusHype
Crafting Distribution Shifts for Validation and Training in Single Source Domain GeneralizationCode1
Learning to Perturb Word Embeddings for Out-of-distribution QACode1
An Information-theoretic Approach to Distribution ShiftsCode1
Learning to Synthesize Data for Semantic ParsingCode1
AAPL: Adding Attributes to Prompt Learning for Vision-Language ModelsCode1
DPStyler: Dynamic PromptStyler for Source-Free Domain GeneralizationCode1
Dynamic Domain GeneralizationCode1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
Domain-Specific Bias Filtering for Single Labeled Domain GeneralizationCode1
DomainLab: A modular Python package for domain generalization in deep learningCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Domain Generalization via Shuffled Style Assembly for Face Anti-SpoofingCode1
Domain Invariant Representation Learning with Domain Density TransformationsCode1
Domain-Unified Prompt Representations for Source-Free Domain GeneralizationCode1
Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersCode1
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal ShiftCode1
Domain Generalization via Entropy RegularizationCode1
SWAD: Domain Generalization by Seeking Flat MinimaCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Domain Generalization via Gradient SurgeryCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
Domain Generalization for Medical Imaging Classification with Linear-Dependency RegularizationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic SegmentationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Contrastive Syn-to-Real GeneralizationCode1
DomainDrop: Suppressing Domain-Sensitive Channels for Domain GeneralizationCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
Compound Text-Guided Prompt Tuning via Image-Adaptive CuesCode1
Domain Generalization by Mutual-Information Regularization with Pre-trained ModelsCode1
Domain-Adversarial Training of Neural NetworksCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language GuidanceCode1
Domain Decorrelation with Potential Energy RankingCode1
Domain Generalization for Object Recognition with Multi-task AutoencodersCode1
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose EstimationCode1
Domain Generalization using Causal MatchingCode1
Consistency-guided Prompt Learning for Vision-Language ModelsCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
Domain Generalization via Rationale InvarianceCode1
ASPS: Augmented Segment Anything Model for Polyp SegmentationCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
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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