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首页> 外文期刊>Network Daily News >New Networks Study Findings Reported from Qingdao University of Technology (Supervised Semantic Segmentation Based On Deep Learning: a Survey)
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New Networks Study Findings Reported from Qingdao University of Technology (Supervised Semantic Segmentation Based On Deep Learning: a Survey)

机译:从青岛新网络研究结果报道科技大学(监督语义分割基于深度学习:一项调查)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators discuss new findings in Networks. According to news reporting out of Shandong, People’s Republic of China, by NewsRx editors, research stated, “Recently, many semantic segmentation methods based on fully supervised learning are leading the way in the computer vision field. In particular, deep neural networks headed by convolutional neural networks can effectively solve many challenging semantic segmentation tasks.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员讨论新发现在网络。山东、中华人民共和国、NewsRx编辑,研究表示,“最近,许多基于完全的语义分割方法监督学习是主要的计算机视觉领域。网络由卷积神经网络可以有效地解决许多具有挑战性的语义分割的任务。”

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