Small Target Detection for Unmanned Aerial Vehicle Images Based on YOLOv5l

Author:

Liu Siyuan1,Liang Peng1,Duan Yingying1,Zhang Yungang1,Feng Jingrong2

Affiliation:

1. School of Information Science and Technology, Yunnan Normal University,Kunming,P. R. China,650500

2. College of Arts and Sciences Kunming,Kunming,P. R.China,650000

Funder

Natural Science Foundation of China

Applied Basic Research Foundation of Yunnan Province

Publisher

IEEE

Reference18 articles.

1. Squeeze-and-Excitation Networks

2. TPH-YOL Ov5: Improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios [C];zhu;ICCV,2021

3. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

4. VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

5. YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles [J];benjumea;ArXiv Preprint,2021

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3. Improved YOLOv5s Algorithm for Small Target Detection in UAV Aerial Photography;IEEE Access;2024

4. Improved YOLOv5 Algorithm for Small Object Detection in Drone Images;Lecture Notes in Computer Science;2024

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