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...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 15; s. 5817
Hlavní autori:	Liu, Haiying, Sun, Fengqian, Gu, Jason, Deng, Lixia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 04.08.2022 MDPI
Predmet:	Ability tests Accuracy Algorithms Computer vision object detection segmentation and categorization small object visual tracking YOLO
ISSN:	1424-8220, 1424-8220
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