Single-Source Domain Generalization
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Benchmarks
PACS
Digits-five
Most implemented
Reducing Domain Gap by Reducing Style Bias
Avoiding Shortcuts: Enhancing Channel-Robust Specific Emitter Identification via Single-Source Domain Generalization
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
Color-Quality Invariance for Robust Medical Image Segmentation
Papers
SleepBand: Single-Source Domain Generalization for Sleep Staging via Physiologically Structured Spectral Modeling
Generalizing sleep staging models to unseen datasets is challenging, and typical domain generalization (DG) methods often rely on multiple source domains or domain labels that are rarely available in practice. We tackle …
Single-Source Domain GeneralizationFrequency Adapter with SAM for Generalized Medical Image Segmentation
Medical image segmentation is a critical task in computer-aided diagnosis and treatment planning. However, deep learning models often struggle to generalize across datasets due to domain shifts arising from variations in…
Single-Source Domain GeneralizationMedical Image SegmentationDecoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation
Domain generalization in fundus imaging is challenging due to variations in acquisition conditions across devices and clinical settings. The inability to adapt to these variations causes performance degradation on unseen…
Single-Source Domain GeneralizationImage SegmentationGranular Ball Guided Stable Latent Domain Discovery for Domain-General Crowd Counting
Single-source domain generalization for crowd counting is highly challenging because a single labeled source domain may contain heterogeneous latent domains, while unseen target domains often exhibit severe distribution …
Single-Source Domain GeneralizationCrowd CountingSpectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization
While hyperspectral images (HSI) benefit from numerous spectral channels that provide rich information for classification, the increased dimensionality and sensor variability make them more sensitive to distributional di…
Single-Source Domain GeneralizationData AugmentationHuman Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
Generalizing image classification across domains remains challenging in critical tasks such as fundus image-based diabetic retinopathy (DR) grading and resting-state fMRI seizure onset zone (SOZ) detection. When domains …
Single-Source Domain GeneralizationImage Classification