DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints

Due to the low detection accuracy of small and dense target objects in multi-target detection tasks from the unmanned aerial vehicle (UAV) perspective and the deployment of deep learning models for UAVs as embedded devices, these models must be lightweight. In this study, we propose an improved algo...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: Yuteng Chen, Zhaoguang Liu
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2025-01-01
الموضوعات:
UAV multi-target detection
YOLO
feature fusion
detection head
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10856002/

الانترنت

https://ieeexplore.ieee.org/document/10856002/

مواد مشابهة