YOLO-FIRI: Improved YOLOv5 for Infrared Image Object Detection

To solve object detection issues in infrared images, such as a low recognition rate and a high false alarm rate caused by long distances, weak energy, and low resolution, we propose a region-free object detector named YOLO-FIR for infrared (IR) images with YOLOv5 core by compressing channels, optimi...

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Bibliografske podrobnosti

Principais autores:	Shasha Li, Yongjun Li, Yao Li, Mengjun Li, Xiaorong Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2021-01-01
Serija:	IEEE Access
Teme:	Attention mechanism infrared image image fusion object detection YOLOv5
Online dostop:	https://ieeexplore.ieee.org/document/9576741/
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