Faster R-CNN based Fish Detector for Smart Aquaculture System-Reference-Cited by-同舟云学术

Faster R-CNN based Fish Detector for Smart Aquaculture System

Published:2021-11-28 Issue: Volume: Page:
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Container-title:2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Rosales Marife A.¹,Palconit Maria Gemel B.¹,Almero Vincent Jan D.¹,Concepcion Ronnie S.¹,Magsumbol Jo-Ann V.¹,Sybingco Edwin¹,Bandala Argel A.¹,Dadios Elmer P.¹

Affiliation:

1. De La Salle University,Gokongwei College of Engineering,Manila,Philippines

Funder

De La Salle University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731800/9731833/09732042.pdf?arnumber=9732042

Reference27 articles.

1. A Review of Detection and Tracking of Object from Image and Video Sequences;tiwari;Int J Comput Intell Res,2017

2. Computer vision;yoshida;Comput Vis,2011

3. An Aquaculture-Based Binary Classifier for Fish Detection using Multilayer Artificial Neural Network

4. Artificial Intelligence: The Technology Adoption and Impact in the Philippines

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