ScholarGate
Assistent
Machine learning

Vision Transformer

Vision Transformer (ViT), introdusert av Dosovitskiy og kolleger i 2021, deler et bilde inn i faste biter, behandler disse bitene som en sekvens, og anvender Transformerens selv-oppmerksomhetsmekanisme for bildeklassifisering. Gitt nok treningsdata, overgår den konvolusjonelle nevrale nettverk (CNN-er).

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Kilder

  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

Slik siterer du denne siden

ScholarGate. (2026, June 1). Vision Transformer (ViT). ScholarGate. https://scholargate.app/no/deep-learning/vision-transformer

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Referert av

ScholarGateVision Transformer (Vision Transformer (ViT)). Hentet 2026-06-15 fra https://scholargate.app/no/deep-learning/vision-transformer · Datasett: https://doi.org/10.5281/zenodo.20539026