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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Bibliografiska uppgifter
Huvudupphovsmän: Fu, Zhenqi, Chen, Ruizhe, Huang, Yue, Cheng, En, Ding, Xinghao, Ma, Kai-Kuang
Övriga upphovsmän: School of Electrical and Electronic Engineering
Materialtyp: Journal Article
Språk:English
Publicerad: 2023
Ämnen:
Engineering::Electrical and electronic engineering
Marine Animal Segmentation
Object Camouflage
Länkar:https://hdl.handle.net/10356/172510

Internet

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

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