首页|New Findings from HeNan Polytechnic University in Intelligent Systems Provides N ew Insights (Mafnet: Dual-branch Fusion Network With Multiscale Atrous Pyramid P ooling Aggregate Contextual Features for Real-time Semantic Segmentation)
New Findings from HeNan Polytechnic University in Intelligent Systems Provides N ew Insights (Mafnet: Dual-branch Fusion Network With Multiscale Atrous Pyramid P ooling Aggregate Contextual Features for Real-time Semantic Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news reporting originating in Jiaozuo, People’s Republic of China, by NewsRx journalists, rese arch stated, “Currently, many real-time semantic segmentation networks aim for h eightened accuracy, inevitably leading to increased computational complexity and reduced inference speed. Therefore, striking a balance between accuracy and spe ed has emerged as a crucial concern in this domain.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Henan Science and Te chnology Planning Program.
JiaozuoPeople’s Republic of ChinaAsi aIntelligent SystemsMachine LearningHeNan Polytechnic University
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