Advances in semi and self-supervised learning techniques for cross-domain visual inspection tools
This review critically synthesizes recent advancements in label-efficient learning paradigms and examines how these techniques address challenges such as occlusion, clutter, limited annotations, and domain variability, as well as identifying the current research that has been made possible through recent advances in SS...