Framework of LightweightSRNet.

<div><p>Infrared (IR) imaging is extensively applied in domains such as object detection, industrial monitoring, medical diagnostics, intelligent transportation due to its robustness in low-light, adverse weather, and complex environments. However, challenges such as low resolution, high...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Weilun Wang (21559389) (author)
مؤلفون آخرون:	Jian Xu (31545) (author), Ruopeng Zhang (4591987) (author)
منشور في:	2025
الموضوعات:	Medicine Sociology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified reduced computational cost minimal computational complexity limited texture details layer feature interactions intelligent transportation due improving feature quality hybrid global multi enhancing target focus 32 %, along handle complex backgrounds enhanced yolov8 model world ir applications time detection capabilities div >< p small object detection resolution ir images object detection model ’ complex environments resolution reconstruction resolution ones resolution network suppressing noise sobel module scale variations recall rising optimized approach medical diagnostics lightweight super lightweight c2f integrating super integrate cross industrial monitoring improved sc head attention extensively applied experimental results efficient edge detail extraction bifpn module adverse weather
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Framework of LightweightSRNet.

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