首页|Study Results from Northwestern Polytechnic University Provide New Insights into Intelligent Systems (Hrdlnet: a Semantic Segmentation Network With High Resolut ion Representation for Urban Street View Images)
Study Results from Northwestern Polytechnic University Provide New Insights into Intelligent Systems (Hrdlnet: a Semantic Segmentation Network With High Resolut ion Representation for Urban Street View Images)
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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 originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated,“Sem antic segmentation of urban street scenes has attracted much attention in the fi eld of autonomousdriving, which not only helps vehicles perceive the environmen t in real time, but also significantly improvesthe decision-making ability of a utonomous driving systems. However, most of the current methods basedon Convolu tional Neural Network (CNN) mainly use coding the input image to a low resolutio n and thentry to recover the high resolution, which leads to problems such as l oss of spatial information, accumulationof errors, and difficulty in dealing wi th large-scale changes.”
Xi’anPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningNorthwestern Polytechnic University
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