U-MSAA-Net: A Multiscale Additive Attention-Based Network for Pixel-Level Identification of Finfish and Krill in Echograms-Reference-Cited by-同舟云学术

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U-MSAA-Net: A Multiscale Additive Attention-Based Network for Pixel-Level Identification of Finfish and Krill in Echograms

Published:2023-07 Issue:3 Volume:48 Page:853-873
ISSN:0364-9059
Container-title:IEEE Journal of Oceanic Engineering
language:
Short-container-title:IEEE J. Oceanic Eng.

Author:

Marques Tunai Porto¹^ORCID,Cote Melissa¹^ORCID,Rezvanifar Alireza¹^ORCID,Slonimer Alex²^ORCID,Albu Alexandra Branzan¹^ORCID,Ersahin Kaan³^ORCID,Gauthier Stéphane⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

2. School of Earth and Ocean Sciences, University of Victoria, Victoria, BC, Canada

3. ASL Environmental Sciences, Victoria, BC, Canada

4. Fisheries and Oceans Canada, Institute of Ocean Sciences, Sidney, BC, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

ASL Environmental Sciences

Alliance Grants Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering

Link

http://xplorestaging.ieee.org/ielx7/48/10183384/10128837.pdf?arnumber=10128837

Reference72 articles.

1. 30 years of advances in active bioacoustics: A personal perspective

2. Ensemble-based classifiers

3. Standard protocols for the analysis of school based data from echo sounder surveys

4. Nearest neighbor pattern classification

5. An operational system for processing and visualizing multi-frequency acoustic data

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