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

Showing 110 of 48 papers

TitleStatusHype
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations0
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 Generalization0
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 Data0
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 domain0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification0
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Crafting-Shifts(ResNet18)Accuracy70.37Unverified
2MCL (ResNet18)Accuracy69.86Unverified
3ProRandConv (ResNet18)Accuracy68.88Unverified
4CADA (ResNet18)Accuracy68.41Unverified
5ITTA (ResNet18)Accuracy68.4Unverified
6XDED (ResNet18)Accuracy66.5Unverified
7ABA (ResNet18)Accuracy66.36Unverified
8GeoTexAug (ResNet18)Accuracy65Unverified
9SagNet (ResNet18)Accuracy61.9Unverified
10SelfReg (ResNet18)Accuracy59.59Unverified