INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220414938A1

    公开(公告)日:2022-12-29

    申请号:US17897353

    申请日:2022-08-29

    Inventor: Tsewei Chen

    Abstract: An information processing apparatus comprises a control unit configured to set a shift amount based on a bit width of data, for each layer of a network including a plurality of layers, a plurality of MAC (multiply-accumulate) units configured to execute MAC operations on a plurality of data and a plurality of filter coefficients of the layer, a plurality of shift operation units configured to shift a plurality of MAC operation results obtained by the plurality of MAC units based on the shift amount, and an adding unit configured to calculate a total sum of the plurality of MAC operation results shifted by the plurality of shift operation units.

    APPARATUS AND METHOD FOR DETECTING FACIAL POSE, IMAGE PROCESSING SYSTEM, AND STORAGE MEDIUM

    公开(公告)号:US20220292878A1

    公开(公告)日:2022-09-15

    申请号:US17687432

    申请日:2022-03-04

    Abstract: The present disclosure discloses an apparatus and a method for detecting a facial pose, an image processing system, and a storage medium. The apparatus comprises: an obtaining unit to obtain at least three keypoints of at least one face from an input image based on a pre-generated neural network, wherein coordinates of the keypoints obtained via a layer in the neural network for obtaining coordinates are three-dimensional coordinates; and a determining unit to determine, for the at least one face, a pose of the face based on the obtained keypoints, wherein the determined facial pose includes at least an angle. According to the present disclosure, the accuracy of the three-dimensional coordinates of the facial keypoints can be improved, thus the detection precision of a facial pose can be improved.

    Training and application method of neural network model, apparatus, system and storage medium

    公开(公告)号:US11106945B2

    公开(公告)日:2021-08-31

    申请号:US16670940

    申请日:2019-10-31

    Abstract: A training and application method for a neural network model is provided. The training method determines the first network model to be trained and sets a downscaling layer for at least one layer in the first network model, wherein the number of filters and filter kernel of the downscaling layer are identical to those of layers to be trained in the second network model. Filter parameters of the downscaling layer are transmitted to the second network model as training information. By this training method, training can also be performed even when the scale of the layer for training in the first network model is different from that of the layers to be trained in the second network model, and the amount of lost data is small.

    DISCRIMINATION CALCULATION APPARATUS AND METHOD THEREOF

    公开(公告)号:US20200175327A1

    公开(公告)日:2020-06-04

    申请号:US16784946

    申请日:2020-02-07

    Abstract: In order to perform a discrimination calculation using a small-capacity storage unit, a discrimination calculation apparatus comprises a feature calculation unit configured to sequentially calculate a feature of discrimination target data for each hierarchical layer, a discrimination calculation unit configured to sequentially perform a partial discrimination calculation on the discrimination target data using the feature sequentially calculated by the feature calculation unit and store a result of the partial discrimination calculation in a discrimination result storage unit, and a control unit configured to control the discrimination calculation unit to perform a next partial discrimination calculation using the feature sequentially calculated by the feature calculation unit and the result of the partial discrimination calculation stored in the discrimination result storage unit and to store a result of the next partial discrimination calculation in the discrimination result storage unit.

    FILTER PROCESSING APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20190114734A1

    公开(公告)日:2019-04-18

    申请号:US16157281

    申请日:2018-10-11

    Abstract: A filter processing apparatus comprises: K arithmetic operation units configured to perform predetermined arithmetic operation processing parallelly; a data holding unit configured to hold a plurality of data values; a coefficient holding unit configured to hold a plurality of filter coefficients; a first pattern holding unit configured to hold a first pattern that selects K data values from the plurality of data values; a second pattern holding unit configured to hold a second pattern that selects one filter coefficient from the plurality of filter coefficients; and a control unit configured to sequentially input the K data values to the K arithmetic operation units with reference to the first pattern and sequentially input the one common filter coefficient to the K arithmetic operation units with reference to the second pattern.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20180046884A1

    公开(公告)日:2018-02-15

    申请号:US15730075

    申请日:2017-10-11

    Inventor: Tsewei Chen

    Abstract: In an information processing apparatus that includes sequences of weak classifiers which are logically cascade-connected in each sequence and the sequences respectively correspond to categories of an object and in which the weak classifiers are grouped into at least a first group and a second group in the order of connection, classification processing by weak classifiers belonging to the first group of respective categories is performed by pipeline processing. Based on the processing results of the weak classifiers belonging to the first group of the respective categories, categories in which classification processing by weak classifiers belonging to the second group is to be performed are decided out of the categories. The classification processing by the weak classifiers respectively corresponding to the decided categories and belonging to the second group is performed by pipeline processing.

Patent Agency Ranking