RESIDUAL NORMALIZATION FOR IMPROVED NEURAL NETWORK CLASSIFICATIONS

    公开(公告)号:US20220405547A1

    公开(公告)日:2022-12-22

    申请号:US17807479

    申请日:2022-06-17

    Abstract: Certain aspects of the present disclosure provide techniques for residual normalization. A first tensor comprising a frequency dimension and a temporal dimension is accessed. A second tensor is generated by applying a frequency-based instance normalization operation to the first tensor, comprising, for each respective frequency bin in the frequency dimension, computing a respective frequency-specific mean of the first tensor. A third tensor is generated by: scaling the first tensor by a scale value, and aggregating the scaled first tensor and the second tensor. The third tensor is provided as input to a layer of a neural network.

    Presenting a facial expression in a virtual meeting

    公开(公告)号:US11652960B2

    公开(公告)日:2023-05-16

    申请号:US17320627

    申请日:2021-05-14

    CPC classification number: H04N7/157 G06V40/166 G06V40/176

    Abstract: Embodiment systems and methods for presenting a facial expression in a virtual meeting may include detecting a user facial expression of a user based on information received from a sensor of the computing device, determining whether the detected user facial expression is approved for presentation on an avatar in a virtual meeting, generating an avatar exhibiting a facial expression consistent with the detected user facial expression in response to determining that the detected user facial expression is approved for presentation on an avatar in the virtual meeting, generating an avatar exhibiting a facial expression that is approved for presentation in response to determining that the detected user facial expression is not approved for presentation on an avatar in the virtual meeting, and presenting the generated avatar in the virtual meeting.

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