"Assessing fish abundance from underwater video using deep neural networks."

Ranju Mandal et al. (2018)

> Home

Details and statistics

DOI: 10.1109/IJCNN.2018.8489482

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/MandalCSS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/MandalCSS18
Ranju Mandal, Rod M. Connolly, Thomas A. Schlacher, Bela Stantic:
Assessing fish abundance from underwater video using deep neural networks. IJCNN 2018: 1-6

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.