MarineYOLO: Innovative deep learning method for small target detection in underwater environments-Reference-Cited by-同舟云学术

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MarineYOLO: Innovative deep learning method for small target detection in underwater environments

Published:2024-10 Issue: Volume:104 Page:423-433
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Liu Linlin,Chu Chengxi,Chen Chuangchuang,Huang Shidong

Funder

Provincial Foundation for Excellent Young Talents of Colleges and Universities of Anhui Province

Science and Technology Planning Project of Fuzhou

Key Scientific Research Project of Colleges and Universities in Henan Province

Publisher

Elsevier BV

Reference49 articles.

1. A systematic review and analysis of deep learning-based underwater object detection;Xu;Neurocomputing,2023

2. Underwater object detection: architectures and algorithms–a comprehensive review;Fayaz;Multimedia Tools Appl.,2022

3. Roimix: proposal-fusion among multiple images for underwater object detection;Lin,2020

4. Underwater object detection based on improved efficientdet;Jia;Remote Sens.,2022

5. Rethinking general underwater object detection: Datasets, challenges, and solutions;Fu;Neurocomputing,2023

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