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Researchers at Sun Yat-sen University Have Reported New Data on Information Sciences (Ar-cnn: an Attention Ranking Network for Learning Urban Perception)

机译:中山大学的研究人员新的数据信息科学报道(Ar-cnn:一个网络排名的关注学习城市感知)

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By a News Reporter-Staff News Editor at Network Daily News – A new study on Information Technology - Information Sciences is now available. According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “An increasing number of deep learning methods is being applied to quantify the perception of urban environments, study the relationship between urban appearance and resident safety, and improve urban appearance. Most advanced methods extract image feature representations from street-level images through conventional visual computation algorithms or deep convolutional neural networks and then directly predict the results using features.”
机译:由一个新闻记者在网络新闻编辑每日新闻》——一项新的研究信息现在科学技术——信息可用。来自广州,中华人民共和国中国NewsRx记者、研究说,“越来越多的深度学习方法被应用于量化城市的感觉环境,研究之间的关系城市外观和居民的安全,并改善城市的外观。从街道图像特征表示图像通过传统视觉计算算法或深卷积神经网络然后直接使用预测结果功能。”

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