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cs.CV2026
MuSViT: A Foundation Vision Model for Sheet Music Representation
Carlos Penarrubia, Antonio Rios-Vila, Eliseo Fuentes-Martinez +4
Foundation models have transformed vision and language processing by providing rich, reusable representations that transfer across diverse tasks. Sheet music, as a visual encoding…
cs.CV2024
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition
María Alfaro-Contreras, Jorge Calvo-Zaragoza
This paper serves to introduce the Align, Minimize and Diversify (AMD) method, a Source-Free Unsupervised Domain Adaptation approach for Handwritten Text Recognition (HTR). This fr…