基于深度学习的场景分割算法研究综述
基金项目: 国家重点研发计划项目(2017YFA0700900,2017YFA0700902,2017YFA0700901,2017YFB1003101);国家自然科学基金项目(61432016,61532016,61672491,61602441,61602446,61732002,61702478,61732007,61732020);北京市自然科学基金项目(JQ18013);国家“九七三”重点基础研究发展计划基金项目(2015CB358800);“核高基”国家科技重大专项基金项目(2018ZX01031102);中国科学院科技成果转移转化重点专项基金项目(KFJ-HGZX-013);中国科学院前沿科学重点研究项目(QYZDB-SSW-JSC001);中国科学院战略性先导科技专项(XDB32050200,XDC01020000);中国科学院标准化研究项目(BZ201800001)
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中图分类号: TP391
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A Survey on Algorithm Research of Scene Parsing Based on Deep Learning
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1(Institute of Computing Technology, Chinese Academic of Sciences, Beijing 100190)
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2(Cambricon Tech. Ltd, Shanghai 200135)
Funds: This work was supported by the National Key Research and Development Program of China (2017YFA0700900, 2017YFA0700902, 2017YFA0700901, 2017YFB1003101), the National Natural Science Foundation of China (61432016, 61532016, 61672491, 61602441, 61602446, 61732002, 61702478, 61732007, 61732020), the Beijing Natural Science Foundation (JQ18013), the National Basic Research Program of China (973 Program) (2015CB358800), the National Science and Technology Major Projects of Hegaoji (2018ZX01031102), the Transformation and Transfer of Scientific and Technological Achievements of Chinese Academy of Sciences (KFJ-HGZX-013), the Key Research Projects in Frontier Science of Chinese Academy of Sciences (QYZDB-SSW-JSC001), the Strategic Priority Research Program of Chinese Academy of Sciences (XDB32050200, XDC01020000), and the Standardization Research Project of Chinese Academy of Sciences (BZ201800001).