SOTAVerified

Single-Source Domain Generalization

In this task a model is trained in a single source domain and then it is tested in a number of target domains

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–48 of 48 papers

TitleStatusHype
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
Frequency Decomposition to Tap the Potential of Single Domain for Generalization—0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization—0
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation—0
Meta-causal Learning for Single Domain Generalization—0
Meta Convolutional Neural Networks for Single Domain Generalization—0
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization—0
Progressive Random Convolutions for Single Domain Generalization—0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction—0
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection—0
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization—0
Reducing Domain Gap by Reducing Style BiasCode0
Geometric and Textural Augmentation for Domain Gap ReductionCode0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain GeneralizationCode0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
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All datasetsPACSDigits-five

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Crafting-Shifts(ResNet18)Accuracy70.37—Unverified
2MCL (ResNet18)Accuracy69.86—Unverified
3ProRandConv (ResNet18)Accuracy68.88—Unverified
4CADA (ResNet18)Accuracy68.41—Unverified
5ITTA (ResNet18)Accuracy68.4—Unverified
6XDED (ResNet18)Accuracy66.5—Unverified
7ABA (ResNet18)Accuracy66.36—Unverified
8GeoTexAug (ResNet18)Accuracy65—Unverified
9SagNet (ResNet18)Accuracy61.9—Unverified
10SelfReg (ResNet18)Accuracy59.59—Unverified
#ModelMetricClaimedVerifiedStatus
1Crafting-Shifts(LeNet)Accuracy82.61—Unverified
2ProRandConv (LeNet)Accuracy81.35—Unverified
3CADA (LeNet)Accuracy80.56—Unverified
4MCL (LeNet)Accuracy78.82—Unverified
5MetaCNN (LeNet)Accuracy78.76—Unverified
6ABA (LeNet)Accuracy76.72—Unverified
7L2D (LeNet)Accuracy74.46—Unverified