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 1–48 of 48 papers

TitleStatusHype
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations—0
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain GeneralizationCode0
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization—0
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image SegmentationCode2
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data—0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
Avoiding Shortcuts: Enhancing Channel-Robust Specific Emitter Identification via Single-Source Domain GeneralizationCode2
Rethinking domain generalization in medical image segmentation: One image as one domain—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction—0
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation—0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification—0
Crafting Distribution Shifts for Validation and Training in Single Source Domain GeneralizationCode1
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup SegmentationCode1
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization—0
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection—0
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image SegmentationCode1
Language Guided Domain Generalized Medical Image SegmentationCode1
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
Leveraging SAM for Single-Source Domain Generalization in Medical Image SegmentationCode1
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization—0
Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationCode0
Frequency-mixed Single-source Domain Generalization for Medical Image SegmentationCode1
CNN Feature Map Augmentation for Single-Source Domain Generalization—0
Frequency Decomposition to Tap the Potential of Single Domain for Generalization—0
Improved Test-Time Adaptation for Domain GeneralizationCode1
Meta-causal Learning for Single Domain Generalization—0
Progressive Random Convolutions for Single Domain Generalization—0
Center-aware Adversarial Augmentation for Single Domain Generalization—0
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
Improving Diversity with Adversarially Learned Transformations for Domain GeneralizationCode1
Attention Consistency on Visual Corruptions for Single-Source Domain GeneralizationCode1
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment—0
Meta Convolutional Neural Networks for Single Domain Generalization—0
Geometric and Textural Augmentation for Domain Gap ReductionCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Learning to Diversify for Single Domain GeneralizationCode1
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization—0
SelfReg: Self-supervised Contrastive Regularization for Domain GeneralizationCode1
Reducing Domain Gap by Reducing Style BiasCode0
Show:102550
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