"QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers."

Piotr Kluska et al. (2024)

> Home

Details and statistics

DOI: 10.1109/CVPRW63382.2024.00368

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cvpr/Kluska0SMQ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/Kluska0SMQ22
Piotr Kluska, Adrián Castelló, Florian Scheidegger, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí:
QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers. CVPR Workshops 2024: 3648-3657

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.