LDNet: High Accuracy Fish Counting Framework using Limited training samples with Density map generation Network-Reference-Cited by-同舟云学术

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LDNet: High Accuracy Fish Counting Framework using Limited training samples with Density map generation Network

Published:2024-09 Issue:7 Volume:36 Page:102143
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Li Ximing^ORCID,Zhuang Yitao^ORCID,You Baihao^ORCID,Wang Zhe^ORCID,Zhao Jiangsan,Gao Yuefang^ORCID,Xiao Deqin

Publisher

Elsevier BV

Reference55 articles.

1. Improving Object Counting with Heatmap Regulation;Aich,2018

2. Global sum pooling: A generalization trick for object counting with small datasets of large images;Aich,2019

3. Fish larvae counting system using image processing techniques;Awalludin;J. Phys. Conf. Ser.,2020

4. Evaluation of three methods for manually counting fish in dam turbines using DIDSON;Braga;Hydrobiologia,2022

5. Guided attention network for object detection and counting on drones;Cai,2020

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