Contrastive self-supervised learning has outperformed supervised pretraining ... We perform the evaluation for the following downstream tasks: linear classification (VOC), semantic segmentation (VOC ...

However, despite its significance, this problem remains rather unexplored, with a few exceptions that considered unsupervised semantic segmentation on small-scale ... that adopts a predetermined prior ...

A key feature of our method is the application of semantic segmentation techniques, enabling the automated categorization of micrograph pixels into distinct classifications of particle and background.