Inhyuk Park

Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization

We propose a frequency-oriented perspective on retinal representation learning by analyzing masked autoencoders (MAE) through the lens of spatial frequency. Our analysis shows that MAE favors low-frequency content while under-encoding diagnostically critical high-frequency structures in retinal imag…