AI RESEARCH
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance
arXiv CS.AI
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ArXi:2604.16086v1 Announce Type: cross One of the dominant paradigms in self-supervised learning (SSL), illustrated by MoCo or DINO, aims to produce robust representations by capturing features that are insensitive to certain image transformations such as illumination, or geometric changes. This strategy is appropriate when the objective is to recognize objects independently of their appearance. However, it becomes counterproductive as soon as appearance itself constitutes the discriminative signal.