Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs-Reference-Cited by-同舟云学术

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Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs

Published:2023-12 Issue: Volume:140 Page:104855
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Song Tingting,Zhang Xin,Yang Degang,Ye Yichen,Liu Chen,Zhou Jie,Song Yingze

Funder

Natural Science Foundation of Chongqing Municipality

Chongqing Municipal Education Commission

Natural Science Foundation Project of Chongqing

Chongqing Normal University

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference57 articles.

1. Vehicle detection from uav imagery with deep learning: a review;Bouguettaya;IEEE Trans. Neural Netw. Learn. Sys.,2021

2. One-shot multiple object tracking in uav videos using task-specific fine-grained features;Wu;Remote Sens.,2022

3. A forest fire recognition method using uav images based on transfer learning;Zhang;Forests,2022

4. Detecting sheep in uav images;Sarwar;Comput. Electron. Agric.,2021

5. Artificial intelligence-based robust hybrid algorithm design and implementation for real-time detection of plant diseases in agricultural environments;Yag;Biology,2022

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