SF-YOLOv5: A Lightweight Small Object Detection Algorithm Based on Improved Feature Fusion Mode

In the research of computer vision, a very challenging problem is the detection of small objects. The existing detection algorithms often focus on detecting full-scale objects, without making proprietary optimization for detecting small-size objects. For small objects dense scenes, not only the accu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 15; S. 5817
Hauptverfasser:	Liu, Haiying, Sun, Fengqian, Gu, Jason, Deng, Lixia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 04.08.2022 MDPI
Schlagworte:	Ability tests Accuracy Algorithms Computer vision object detection segmentation and categorization small object visual tracking YOLO
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!