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Automation of species recognition and size measurement of fish from underwater stereo-video imagery
Harvey, Euan
(Investigator 01)
Shortis, Mark
(Investigator 02)
Mian, Ajmal
(Investigator 03)
Culverhouse, Philip
(Investigator 04)
Edgington, Duane
(Investigator 05)
Cline, Danelle
(Investigator 06)
School of Biological Sciences
Computer Science and Software Engineering
Overview
Research output
(2)
Research output
Research output per year
2016
2016
2016
2
Article
Research output per year
Research output per year
2 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Article
Search results
2016
Fish species classification in unconstrained underwater environments based on deep learning
Salman, A., Jalal, A.,
Shafait, F.
,
Mian, A.
, Shortis, M., Seager, J. & Harvey, E.,
1 Sept 2016
,
In:
LIMNOLOGY AND OCEANOGRAPHY-METHODS.
14
,
9
,
p. 570-585
16 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Neural Network
100%
Limnology
100%
Learning System
100%
Machine Learning
100%
Deep Learning Method
100%
231
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Citations (Scopus)
Progress in the automated identification, measurement, and counting of fish in underwater image sequences
Shortis, M. R., Ravanbakhsh, M., Shafaii, K. &
Mian, A.
,
1 Jan 2016
,
In:
Marine Technology Society Journal.
50
,
1
,
p. 4-16
13 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Conservation Management
100%
Marine Technology
100%
Tail
100%
Species Identification
50%
40
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Citations (Scopus)