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公开(公告)号:US11948074B2
公开(公告)日:2024-04-02
申请号:US16398710
申请日:2019-04-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sangil Jung , Changyong Son , Seohyung Lee , Jinwoo Son , Chang Kyu Choi
Abstract: Disclosed is a processor-implemented data processing method in a neural network. A data processing apparatus includes at least one processor, and at least one memory configured to store instructions to be executed by the processor and a neural network, wherein the processor is configured to, based on the instructions, input an input activation map into a current layer included in the neural network, output an output activation map by performing a convolution operation between the input activation map and a weight quantized with a first representation bit number of the current layer, and output a quantized activation map by quantizing the output activation map with a second representation bit number based on an activation quantization parameter.
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公开(公告)号:US10885317B2
公开(公告)日:2021-01-05
申请号:US16225084
申请日:2018-12-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Byung In Yoo , Youngjun Kwak , Youngsung Kim , Seohyung Lee
Abstract: A facial expression recognition apparatus and method and a facial expression training apparatus and method are provided. The facial expression recognition apparatus generates a speech map indicating a correlation between a speech and each portion of an object based on a speech model, extracts a facial expression feature associated with a facial expression based on a facial expression model, and recognizes a facial expression of the object based on the speech map and the facial expression feature. The facial expression training apparatus trains the speech model and the facial expression model.
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