UniPrompt-CL: Efficient Single-Inference Continual Learning for Medical Image Classification
UniPrompt-CL is a medical image classification method that improves continual learning by using a single backbone and a unified prompt pool shared across all transformer layers. It introduces minimal prompt expansion and a consistency regularization term to achieve better stability and efficiency, resulting in improved accuracy on diabetic retinopathy while reducing forgetting.