首页|New Findings on Intelligent Systems Described by Investigators at Fujian Agricul tural and Forestry University (Dffnet: a Lightweight Approach for Efficient Feat ure-optimized Fusion In Steel Strip Surface Defect Detection)
New Findings on Intelligent Systems Described by Investigators at Fujian Agricul tural and Forestry University (Dffnet: a Lightweight Approach for Efficient Feat ure-optimized Fusion In Steel Strip Surface Defect Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning - Intelligent Systems are discussed in a newreport. According to news reporting originating from Fuzhou, People’s Republic of China, by NewsRxcorrespondents, research stated, “Steel surface defect detection is crucial in manufacturing, bu t achievinghigh accuracy and real-time performance with limited computing resou rces is challenging. To address thisissue, this paper proposes DFFNet, a lightw eight fusion network, for fast and accurate steel surface defectdetection.”
FuzhouPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningFujian Agricultural and Forestry Univer sity
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