Detection of anomaly in surveillance videos using quantum convolutional neural networks

  1. Amin, J.
  2. Anjum, M.A.
  3. Ibrar, K.
  4. Sharif, M.
  5. Kadry, S.
  6. Crespo, R.G.
Revue:
Image and Vision Computing

ISSN: 0262-8856

Année de publication: 2023

Volumen: 135

Type: Article

DOI: 10.1016/J.IMAVIS.2023.104710 GOOGLE SCHOLAR

Objectifs de Développement Durable

La source de données: Scopus