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

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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Bibliographic Details
Main Authors: Haiying Liu, Fengqian Sun, Jason Gu, Lixia Deng
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
object detection
visual tracking
small object
segmentation and categorization
YOLO
Online Access:https://www.mdpi.com/1424-8220/22/15/5817

Internet

https://www.mdpi.com/1424-8220/22/15/5817

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