中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

812 records (took 0.065 seconds)

    OFFLOADING COMPUTATION BASED ON EXTENDED INSTRUCTION SET ARCHITECTURE
    131.
    发明公开
    OFFLOADING COMPUTATION BASED ON EXTENDED INSTRUCTION SET ARCHITECTURE 审中-公开

    公开(公告)号：US20230205532A1

    公开(公告)日：2023-06-29

    申请号：US18118367

    申请日：2023-03-07

    Applicant: Lemon Inc. ,  Beijing Youzhuju Network Technology Co., Ltd.

    Inventor： Viacheslav Dubeyko ,  Jian Wang

    IPC: G06F9/30

    CPC classification number: G06F9/30189 ,  G06F9/30145

    Abstract: The present disclosure describes techniques for offloading computation based on an extended instruction set architecture (ISA). The extended ISA may be created based on identifying functions executed multiple times by a central processing unit (CPU). The extended ISA may comprise hashes corresponding to the functions and identifiers of extended operations associated with the functions. The extended operations may be converted from original operations of the functions. The extended operations may be executable by a storage device. The storage device may be associated with at least one computational core. Code may be synthesized based at least in part on the extended ISA. Computation of the synthesized code may be offloaded into the storage device.

    Operational point sample group in coded video
    132.
    发明授权
    Operational point sample group in coded video 有权

    公开(公告)号：US11683529B2

    公开(公告)日：2023-06-20

    申请号：US17473425

    申请日：2021-09-13

    Applicant: Lemon Inc.

    Inventor： Ye-Kui Wang

    IPC: H04N19/70 ,  H04N19/172 ,  H04N19/30 ,  H04N19/169

    CPC classification number: H04N19/70 ,  H04N19/172 ,  H04N19/188 ,  H04N19/30

    Abstract: Systems, methods and apparatus for visual media data processing are described. One method includes performing a conversion between a visual media data and a visual media file that stores a bitstream of the visual media data in multiple tracks according to a format rule that specifies that the file-level information includes a syntax element that identifies one or more tracks from the multiple tracks that contain a specific type of sample group that includes operation point information.

    FEATURE SELECTION VIA AN ENSEMBLE OF GATING LAYERS
    133.
    发明公开
    FEATURE SELECTION VIA AN ENSEMBLE OF GATING LAYERS 审中-公开

    公开(公告)号：US20230169391A1

    公开(公告)日：2023-06-01

    申请号：US17537185

    申请日：2021-11-29

    Applicant: Lemon Inc.

    Inventor： Ming Chen ,  Xia Xiao ,  Youlong Cheng

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: Embodiments of the present disclosure relate to feature selection via an ensemble of gating layers. According to embodiments of the present disclosure, a plurality of gating layers is provided to be trained together with a machine learning model. At each update step, one of the plurality of gating layers is selected to perform gating parameter value update together with model parameter value update of the machine learning model. After the iterative update process, a set of target gating parameter values is determined from a plurality of sets of gating parameter values of the plurality of gating layers after the iterative update, and can be used to select a target subset of features to be conveyed from one layer to a next layer in the machine learning model.

    METHOD, APPARATUS AND STORAGE MEDIUM FOR OBJECT ATTRIBUTE CLASSIFICATION MODEL TRAINING
    139.
    发明申请
    METHOD, APPARATUS AND STORAGE MEDIUM FOR OBJECT ATTRIBUTE CLASSIFICATION MODEL TRAINING 有权

    公开(公告)号：US20230035995A1

    公开(公告)日：2023-02-02

    申请号：US17534222

    申请日：2021-11-23

    Applicant: LEMON INC.

    Inventor： Jingna SUN ,  Weihong ZENG ,  Peibin CHEN ,  Xu WANG ,  Shen SANG ,  Jing LIU ,  Chunpong LAI

    IPC: G06N3/08

    Abstract: The present disclosure relates to method, apparatus and storage medium for object attribute classification model training. There proposes a method of training a model for object attribute classification, comprising steps of: acquiring binary class attribute data related to a to-be-classified attribute on which an attribute classification task is to be performed, wherein the binary class attribute data includes data indicating whether the to-be-classified attribute is “Yes” or “No” for each of at least one class label; and pre-training the model for object attribute classification based on the binary class attribute data.

    IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE AND COMPUTER READABLE MEDIUM
    140.
    发明申请
    IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE AND COMPUTER READABLE MEDIUM 有权

    公开(公告)号：US20230034370A1

    公开(公告)日：2023-02-02

    申请号：US17532537

    申请日：2021-11-22

    Applicant: LEMON INC.

    Inventor： Jingna SUN ,  Weihong ZENG ,  Peibin CHEN ,  Xu WANG ,  Chunpong LAI ,  Shen SANG ,  Jing LIU

    IPC: G06K9/62 ,  G06K9/00 ,  G06F16/532

    Abstract: An image processing method includes acquiring a set of image samples for training an attribute recognition model, wherein the set of image samples includes a first subset of image samples with category labels and a second subset of image samples without category labels; training a sample prediction model using the first subset of image samples, and predicting categories of the image samples in the second subset of image samples using the trained sample prediction model; determining a category distribution of the set of image samples based on the category labels of the first subset of image samples and the predicted categories of the second subset of image samples; and acquiring a new image sample if the determined category distribution does not conform to the expected category distribution, and adding the acquired new image sample to the set of image samples.

Patent Agency Ranking