- Patent Title: 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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Application No.: US16960071Application Date: 2019-10-10
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Publication No.: US11244196B2Publication Date: 2022-02-08
- Inventor: Tingting Wang
- Applicant: BOE Technology Group Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: BOE Technology Group Co., Ltd.
- Current Assignee: BOE Technology Group Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: Intellectual Valley Law, P.C.
- Priority: CN201910489560.0 20190605
- International Application: PCT/CN2019/110452 WO 20191010
- International Announcement: WO2020/244108 WO 20201210
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06T7/10 ; G06K9/62

Abstract:
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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