Learning-based edge detection has hereunto been strongly supervised with pixel-wise annotations which are tedious to obtain manually. We study the problem of self-training edge detection, leveraging ...

This may lead to many internal pseudoedges during edge extraction, which is detrimental to farmland segmentation. To address this, we propose a multiscale edge-aware framework based on a hybrid of CNN ...