Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook

29 September 2021

Papers citing "Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook"

4 / 4 papers shown

Title
Underwater Image Enhancement by Convolutional Spiking Neural Networks Vidya Sudevan F. Zayer Rizwana Kausar S. Javed Hamad Karki G. D. Masi Jorge Dias 71 1 0 26 Mar 2025
UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection Dennis Monari Jack Larkin Pedro Machado Jordan J. Bird I. Ihianle S. Yahaya Farhad Fassihi Tash Md Mahmudul Hasan Ahmad Lotfi 19 0 0 21 Dec 2023
A contrastive learning approach for individual re-identification in a wild fish population Ørjan Langøy Olsen T. K. Sørdalen M. G. Olsen K. Malde Kristian Muri Knausgård K. Halvorsen 17 2 0 02 Jan 2023
MorphoCluster: Efficient Annotation of Plankton images by Clustering Simon-Martin Schroder R. Kiko Reinhard Koch 43 46 0 04 May 2020