"SalFBNet: Learning pseudo-saliency distribution via feedback convolutional ..."

Guanqun Ding et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.IMAVIS.2022.104395

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ivc/DingICMN22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ivc/DingICMN22
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks. Image Vis. Comput. 120: 104395 (2022)

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.