MASNet: a robust deep marine animal segmentation network

MASNet: a robust deep marine animal segmentation network

Marine animal studies are of great importance to human beings and instrumental to many research areas. How to identify such animals through image processing is a challenging task that leads to marine animal segmentation (MAS). Although deep neural networks have been widely applied for object segment...

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Bibliografische gegevens
Hoofdauteurs: Fu, Zhenqi, Chen, Ruizhe, Huang, Yue, Cheng, En, Ding, Xinghao, Ma, Kai-Kuang
Andere auteurs: School of Electrical and Electronic Engineering
Formaat: Journal Article
Taal:English
Gepubliceerd in: 2023
Onderwerpen:
Engineering::Electrical and electronic engineering
Marine Animal Segmentation
Object Camouflage
Online toegang:https://hdl.handle.net/10356/172510

Internet

https://hdl.handle.net/10356/172510

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