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 31–40 of 48 papers

TitleStatusHype
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
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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