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 2648 of 48 papers

TitleStatusHype
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 Generalization0
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 Generalization0
Frequency Decomposition to Tap the Potential of Single Domain for Generalization0
Improved Test-Time Adaptation for Domain GeneralizationCode1
Meta-causal Learning for Single Domain Generalization0
Progressive Random Convolutions for Single Domain Generalization0
Center-aware Adversarial Augmentation for Single Domain Generalization0
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 Alignment0
Meta Convolutional Neural Networks for Single Domain Generalization0
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 Generalization0
SelfReg: Self-supervised Contrastive Regularization for Domain GeneralizationCode1
Reducing Domain Gap by Reducing Style BiasCode0
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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
#ModelMetricClaimedVerifiedStatus
1Crafting-Shifts(LeNet)Accuracy82.61Unverified
2ProRandConv (LeNet)Accuracy81.35Unverified
3CADA (LeNet)Accuracy80.56Unverified
4MCL (LeNet)Accuracy78.82Unverified
5MetaCNN (LeNet)Accuracy78.76Unverified
6ABA (LeNet)Accuracy76.72Unverified
7L2D (LeNet)Accuracy74.46Unverified