Jinbin Wang

Self-Convolutional Attention-Based Uncertainty-Aware Network for Single-Image Super-Resolution

Current super-resolution (SR) algorithms rely heavily on annotated data and often ignore the uncertainty in image degradation and features, limiting their real-world application. We propose an uncertainty-aware SR network using a self-convolutional attention mechanism. Our approach focuses on an SR…