Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
IEEE/CVF Winter Conference on Applications of Computer Vision（2025）
Key words
Diabetic Retinopathy Grading,Deep Learning,Observable Variables,Classification Loss,Focal Loss,Domain Generalization,Fundus Images,Label Noise,Diagnosis Of Diabetic Retinopathy,Empirical Risk Minimization,Alignment Loss,Fine-tuned,Preschool,Positive Samples,Feature Space,Dataset Size,Number Of Images,Class Labels,Domain Shift,Latent Space,Synthetic Images,Source Domain,Noisy Labels,Image Encoder,Self-supervised Learning,Query Sample,Temporal Continuity,Domain-specific Information,Nearest Sample,Image Augmentation
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