Improved feature extraction network in lightweight YOLOv7 model for real-time vehicle detection on low-cost hardware
The advancement of unmanned aerial vehicles (UAVs) has drawn researchers to update object detection algorithms for better accuracy and computation performance. Previous works applying deep learning models for object detection applications required high graphics processing unit (GPU) computation powe...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Springer
2024
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/45256/ https://doi.org/10.1007/s11554-024-01457-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|