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Machine learning

Vision Transformer

Vision Transformer (ViT), predstavljen od strane Dosovitskiyja i kolega 2021. godine, dijeli sliku na zakrpe fiksne veličine, tretira te zakrpe kao sekvencu i primjenjuje mehanizam samopažnje (self-attention) Transformera na klasifikaciju slika. Uz dovoljno podataka za treniranje, nadmašuje konvolucijske neuralne mreže (CNN).

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Izvori

  1. Dosovitskiy, A. et al. (2021). An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR. link
  2. Touvron, H. et al. (2021). Training Data-Efficient Image Transformers. ICML. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Vision Transformer (ViT). ScholarGate. https://scholargate.app/hr/deep-learning/vision-transformer

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Citirana u

ScholarGateVision Transformer (Vision Transformer (ViT)). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/vision-transformer · Skup podataka: https://doi.org/10.5281/zenodo.20539026