Author

Antonín Vobecký

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Preprint Oct 2026

Scalable Patch-Level Self-Supervised Learning

Self-supervised learning (SSL) at scale produces powerful visual representations. However, most scalable SSL methods rely on ad hoc combinations of multiple objectives and stabilization mechanisms. Taking a step back, we ask if we can design a high-performing, yet principled SSL algorithm. Starting from the multi-view...

Maximilian Seitzer, Gabriele Trivigno, Antonín Vobecký et al. · 0 citations