首页|Recent Research from Shandong University Highlight Findings in Computational Int elligence (Self-supervised Multi-granularity Graph Attention Network for Vision- based Driver Fatigue Detection)
Recent Research from Shandong University Highlight Findings in Computational Int elligence (Self-supervised Multi-granularity Graph Attention Network for Vision- based Driver Fatigue Detection)
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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 - Computational Intelligence.According to news reporting origina ting in Jinan, People’s Republic of China, by NewsRx journalists,research state d, “Driver fatigue is one of the main causes of traffic accidents. Current visio n-basedmethods for detecting driver fatigue lack robustness in the presence of interfering images, and exhibitinsufficient ability to focus on frames containi ng crucial information.”
JinanPeople’s Republic of ChinaAsiaComputational IntelligenceEmerging TechnologiesMachine LearningSupervised LearningShandong University
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