- Titre
- Deep-Learning for the observation of marine/terrestrial life. A case study: the localization and identification of fish species
- Créateurs - sans rôle
- Marc Chaumont - InterAction
- Colloque
- Challenges and opportunities in large-scale conservation (Montpellier, France, 29/11/2019)
- Identifiants
- 9937028209311
- Unité académique
- Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
- Langue
- English
- Type de ressource
- Conference proceeding
- Champs locaux
- lirmm-03820892
Acte de colloque
Deep-Learning for the observation of marine/terrestrial life. A case study: the localization and identification of fish species
Challenges and opportunities in large-scale conservation (Montpellier, France, 29/11/2019)
Indicateurs
1 Consultations de la notice