- 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
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申请号: US16960071申请日: 2019-10-10
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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
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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