Robotics & Machine Learning Daily News2024,Issue(Jul.11) :50-51.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.11) :50-51.

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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Abstract

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.”

Key words

Fuzhou/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Fujian Agricultural and Forestry Univer sity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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