Improved Yolov5 for Small Target Detection in Aerial Images-Reference-Cited by-同舟云学术

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Improved Yolov5 for Small Target Detection in Aerial Images

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Singh Inderpreet,Munjal Geetika

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference45 articles.

1. You only look once: Unified, real-time object detection;J Redmon;2016 IEEE Conference on Computer Vision and Pattern Recognition,2016

2. Feature pyramid networks for object detection;T.-Y Lin;2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR,2017

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1. Research on Tea Shoot Monitoring and Recognition Based on YOLOv5 Improved Algorithm;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

2. Ensemble of ghost convolution block with nested transformer encoder for dense object recognition;Biomedical Signal Processing and Control;2024-02

3. Effective Anchor Adaptation and Feature Enhancement Strategies for Tiny Object Detection in Aerial Images;IEEE Access;2024

4. Blind Navigation System Based on NS-YOLOV5;2023 3rd International Conference on Intelligent Communications and Computing (ICC);2023-11-24

5. A Study of Lightweight Classroom Abnormal Behavior Recognition by Incorporating ODConv;2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC);2023-11-17

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