"ReViT: Enhancing vision transformers feature diversity with attention ..."

Anxhelo Diko et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.PATCOG.2024.110853

access: closed

type: Journal Article

metadata version: 2024-08-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/pr/DikoACC24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/pr/DikoACC24
Anxhelo Diko, Danilo Avola, Marco Cascio, Luigi Cinque:
ReViT: Enhancing vision transformers feature diversity with attention residual connections. Pattern Recognit. 156: 110853 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.