- 专利标题: MULTI-DOMAIN CONVOLUTIONAL NEURAL NETWORK
-
申请号: US16024397申请日: 2018-06-29
-
公开(公告)号: US20190042870A1公开(公告)日: 2019-02-07
- 发明人: Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
- 申请人: Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
- 主分类号: G06K9/36
- IPC分类号: G06K9/36 ; G06K9/62 ; H04N19/80 ; G06N3/08 ; G06F17/30
摘要:
In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
公开/授权文献
- US10778412B2 Multi-domain convolutional neural network 公开/授权日:2020-09-15
信息查询