De-Cheng Wang

Revisiting the Effectiveness of Self-Supervised Learning for Change Detection in Remote Sensing Imagery

This study finds that, within a typical change detection paradigm combining self-supervised pretraining with unsupervised postprocessing, the self-supervised learning process fails to provide effective optimization, and replaces the feature extraction networks used in the investigated paradigm with a single convolution...