SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images

The author argues that the degradation in performance of weakly supervised road extractors is due to poor model invariance to scenes with different complexities. To address this, they propose SA-MixNet, a data-driven framework that enhances model invariance and improves road extraction performance.