Jorge Calvo-Zaragoza

While natural vision largely abandoned pixel reconstruction for latent objectives, handwriting recognition fundamentally requires it because character identities reside almost exclusively in high-pixel-variance directions that contrastive methods and JEPAs discard.

MuSViT outperforms general-purpose vision models in sheet music tasks, revealing that they systematically fail to capture the structured properties of musical notation.

Forget relying on metadata – now you can search music scores directly by content, even without perfect transcription.