Z. Guo

High-performance underwater polarization imaging based on a dual-scale parallel network with TaylorFormer-CNN

Underwater polarization imaging (UPI) remains challenging due to the unique physical properties of underwater environments, where images typically suffer from severe degradations. Despite the remarkable progress of deep learning-based methods, existing methods primarily rely on local spatial features from polarization...

A physics-informed wavelet-based multi-scale graph neural network for aero-engine remaining useful life prediction