METHOD AND APPARATUS WITH IMAGE PROCESSING BASED ON A NEURAL NETWORK

    公开(公告)号:US20240054618A1

    公开(公告)日:2024-02-15

    申请号:US18337899

    申请日:2023-06-20

    IPC分类号: G06T5/00 G06T1/20 G06V10/82

    CPC分类号: G06T5/002 G06T1/20 G06V10/82

    摘要: A neural network-based image processing method and apparatus are provided. A method includes receiving input image data comprising original image data, when a current image processing mode is an independent processing mode, generating first intermediate image data by executing a main neural network based on the original image data and by not executing an auxiliary neural network based on the original image data, when the current image processing mode is in a cooperative processing mode, generating second intermediate image data by determining an auxiliary parameter by executing the auxiliary neural network based on the original image data and by executing the main neural network based on the original image data and based on the auxiliary parameter, and generating output image data by operating an image signal processing (ISP) block based the first intermediate image data or the second intermediate image data according to the current image processing mode.

    METHOD AND APPARATUS WITH NEURAL NETWORK OPERATION

    公开(公告)号:US20220092394A1

    公开(公告)日:2022-03-24

    申请号:US17245144

    申请日:2021-04-30

    IPC分类号: G06N3/063 G06F9/50 G06F9/54

    摘要: Provided is a method and apparatus with neural network operation. The method includes generating a first intermediate operation result by performing a first-order partial operation of a neural network layer on a first input line of a first area of a frame, generating a second intermediate operation result by performing another first-order partial operation of the neural network layer on a second input line of the first area, and generating an objective operation result of the neural network layer with respect to the first area based on a second-order partial operation performed on the first intermediate operation result and the second intermediate operation result.

    METHOD AND APPARATUS FOR PROCESSING CONVOLUTION OPERATION ON LAYER IN NEURAL NETWORK

    公开(公告)号:US20210279568A1

    公开(公告)日:2021-09-09

    申请号:US17015122

    申请日:2020-09-09

    IPC分类号: G06N3/08 G06N3/04 G06F9/38

    摘要: Disclosed are methods and apparatuses for processing a convolution operation on a layer in a neural network. The method includes extracting a first target feature vector from a target feature map, extracting a first weight vector matched with the first target feature vector from a first-type weight element, based on matching relationships for depth-wise convolution operations between target feature vectors of the target feature map and weight vectors of the first-type weight element, generating a first intermediate feature vector by performing multiplication between the first target feature vector and the first weight vector, generating a first hidden feature vector by accumulating the first intermediate feature vector and a second intermediate feature vector generated based on a second target feature vector, and generating a first output feature vector of an output feature map based on a point-wise convolution operation between the first hidden feature vector and a second-type weight element.

    ELECTRONIC DEVICE INCLUDING A PLURALITY OF MAGNET MODULES

    公开(公告)号:US20230179024A1

    公开(公告)日:2023-06-08

    申请号:US17973907

    申请日:2022-10-26

    IPC分类号: H02J50/10 H01F27/28 H01F7/02

    摘要: An example electronic device includes a battery, a coil antenna that transmits power of the battery, a shield disposed on a lower surface of the coil antenna, and a plurality of magnet modules formed to surround at least a portion of a side surface of the coil antenna. Each of the plurality of magnet modules includes an inner part that faces toward the side surface of the coil antenna, an outer part that faces toward an opposite side to the coil antenna, and a non-magnetized area disposed between the inner part and the outer part. The inner part includes a first inner area and a second inner area over the first inner area, and the outer part includes a first outer area and a second outer area over the first outer area. The first inner area and the second outer area are magnetized with a first polarity, and the second inner area and the first outer area are magnetized with a second polarity opposite to the first polarity.