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公开(公告)号:US20210073613A1
公开(公告)日:2021-03-11
申请号:US16949994
申请日:2020-11-23
Applicant: Snap Inc.
Inventor: Yingzhen Yang , Jianchao Yang , Ning Xu
Abstract: A compact neural network system can generate multiple individual filters from a compound filter. Each convolutional layer of a convolutional neural network can include a compound filters used to generate individual filters for that layer. The individual filters overlap in the compound filter and can be extracted using a sampling operation. The extracted individual filters can share weights with nearby filters thereby reducing the overall size of the convolutional neural network.
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公开(公告)号:US12136026B2
公开(公告)日:2024-11-05
申请号:US18222649
申请日:2023-07-17
Applicant: Snap Inc.
Inventor: Yingzhen Yang , Jianchao Yang , Ning Xu
Abstract: A compact neural network system can generate multiple individual filters from a compound filter. Each convolutional layer of a convolutional neural network can include a compound filters used to generate individual filters for that layer. The individual filters overlap in the compound filter and can be extracted using a sampling operation. The extracted individual filters can share weights with nearby filters thereby reducing the overall size of the convolutional neural network.
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公开(公告)号:US20230359859A1
公开(公告)日:2023-11-09
申请号:US18222649
申请日:2023-07-17
Applicant: Snap Inc.
Inventor: Yingzhen Yang , Jianchao Yang , Ning Xu
Abstract: A compact neural network system can generate multiple individual filters from a compound filter. Each convolutional layer of a convolutional neural network can include a compound filters used to generate individual filters for that layer. The individual filters overlap in the compound filter and can be extracted using a sampling operation. The extracted individual filters can share weights with nearby filters thereby reducing the overall size of the convolutional neural network.
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公开(公告)号:US11763130B2
公开(公告)日:2023-09-19
申请号:US16949994
申请日:2020-11-23
Applicant: Snap Inc.
Inventor: Yingzhen Yang , Jianchao Yang , Ning Xu
Abstract: A compact neural network system can generate multiple individual filters from a compound filter. Each convolutional layer of a convolutional neural network can include a compound filters used to generate individual filters for that layer. The individual filters overlap in the compound filter and can be extracted using a sampling operation. The extracted individual filters can share weights with nearby filters thereby reducing the overall size of the convolutional neural network.
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