首页|Studies from Kunming University Further Understanding of Intelligent Systems (In corporating Long-tail Data In Complex Backgrounds for Visual Surface Defect Dete ction In Pcbs)

Studies from Kunming University Further Understanding of Intelligent Systems (In corporating Long-tail Data In Complex Backgrounds for Visual Surface Defect Dete ction In Pcbs)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Intelligent Systems. Accordingto news reporting from Yunnan, P eople’s Republic of China, by NewsRx journalists, research stated, “Highqualityprinted circuit boards (PCBs) are essential components in modern electronic cir cuits. Nevertheless,most of the existing methods for PCB surface defect detecti on neglect the fact that PCB surface defectsin complex backgrounds are prone to long-tailed data distributions, which in turn affects the effectivenessof defe ct detection.”

YunnanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningKunming University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.20)