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...
Saved in:
Main Authors: | Fu, Zhenqi, Chen, Ruizhe, Huang, Yue, Cheng, En, Ding, Xinghao, Ma, Kai-Kuang |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172510 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Learning deep networks for video object segmentation
by: Lim, Jun Rong
Published: (2024) -
A Fixation Based Segmentation Framework
by: AJAY KUMAR MISHRA
Published: (2011) -
THE EFFECT OF MOVEMENT ON CAMOUFLAGE USING JUMPING SPIDERS AS MODEL PREDATORS
by: TAN MIN
Published: (2021) -
QUANTIFYING ANIMAL COLOUR PATTERNS
by: CHAN ZHI WEN, IAN
Published: (2019) -
Active visual segmentation
by: Mishra, A.K., et al.
Published: (2014)