Semantic Segmentation of Fish and Underwater Environments Using Deep Convolutional Neural Networks and Learned Active Contours-Reference-Cited by-同舟云学术

Semantic Segmentation of Fish and Underwater Environments Using Deep Convolutional Neural Networks and Learned Active Contours

Published:2023 Issue: Volume:11 Page:33652-33665
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chicchon Miguel¹^ORCID,Bedon Hector²^ORCID,Del-Blanco Carlos R.³^ORCID,Sipiran Ivan⁴

Affiliation:

1. Escuela de Posgrado, Pontificia Universidad Católica del Perú, Lima, Peru

2. School of Technical Sciences and Engineering, Madrid Open University (UDIMA), Madrid, Spain

3. Information Processing and Telecommunications Center, Grupo de Tratamiento de Imágenes (GTI), ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain

4. Department of Computer Science, University of Chile, Santiago, Chile

Funder

National Program for Innovation in Fisheries and Aquaculture of Peru

Universidad de Lima

Open University of Madrid

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10083143.pdf?arnumber=10083143

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