• 专利标题: Method of semantically segmenting input image, apparatus for semantically segmenting input image, method of pre-training apparatus for semantically segmenting input image, training apparatus for pre-training apparatus for semantically segmenting input image, and computer-program product
  • 申请号: US16960071
    申请日: 2019-10-10
  • 公开(公告)号: US11244196B2
    公开(公告)日: 2022-02-08
  • 发明人: Tingting Wang
  • 申请人: BOE Technology Group Co., Ltd.
  • 申请人地址: CN Beijing
  • 专利权人: BOE Technology Group Co., Ltd.
  • 当前专利权人: BOE Technology Group Co., Ltd.
  • 当前专利权人地址: CN Beijing
  • 代理机构: Intellectual Valley Law, P.C.
  • 优先权: CN201910489560.0 20190605
  • 国际申请: PCT/CN2019/110452 WO 20191010
  • 国际公布: WO2020/244108 WO 20201210
  • 主分类号: G06K9/46
  • IPC分类号: G06K9/46 G06T7/10 G06K9/62
Method of semantically segmenting input image, apparatus for semantically segmenting input image, method of pre-training apparatus for semantically segmenting input image, training apparatus for pre-training apparatus for semantically segmenting input image, and computer-program product
摘要:
A method of semantically segmenting an input image using a neural network is provided. The method includes extracting features of the input image to generate one or more feature maps; and analyzing the one or more feature maps to generate a plurality of predictions respectively corresponding to a plurality of subpixels of the input image. Extracting features of the input image is performed using a residual network having N number of residual blocks, N being a positive integer greater than 1. Analyzing the one or more feature maps is performed through M number of feature analyzing branches to generate M sets of predictions. A respective one set of the M sets of predictions includes multiple predictions respectively corresponding to the plurality of subpixels of the input image. A respective one of the plurality of predictions is an average value of corresponding ones of the M sets of predictions.
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