Abstract
Despite the significant progress made in supervised learning, the common requirement for extensive labeled datasets represents a severe bottleneck. In this scenario, other learning paradigms capable of addressing the challenge associated with the scarcity of labeled data represent a relevant alternative solution. Self-Supervised Learning (SSL) approaches have been established as a promisi…