Underwater Fish Detection and Classification using Deep Learning-Reference-Cited by-同舟云学术

Underwater Fish Detection and Classification using Deep Learning

Published:2022-07-21 Issue: Volume: Page:
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Container-title:2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)
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Author:

Pagire Vrushali¹,Phadke Anuradha¹

Affiliation:

1. MIT-WPU,Electronics and Communication Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9862308/9862027/09862410.pdf?arnumber=9862410

Reference15 articles.

1. Fish population estimation and species classification from underwater video sequences using blob counting and shape analysis

2. Detection of Moving Object Based on FPGA

3. Fish Detection from Low Visibility Underwater Videos

4. Underwater Moving Object Detection Using GMG

5. Fish detection and species classification in underwater environments using deep learning with temporal information

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1. LDNet: High Accuracy Fish Counting Framework using Limited training samples with Density map generation Network;Journal of King Saud University - Computer and Information Sciences;2024-09

2. Detecting Fish Species Through Mask RCNN;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

3. Improving Fisheries Management through Deep learning based Automated fish counting;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Automating Fish Detection and Species Classification in Underwaters Using Deep Learning Model;Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing;2023