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    SYSTEMS AND METHODS FOR PROCESSING OF CATALOG ITEMS WITH A PLURALITY OF MODELS
    1.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING OF CATALOG ITEMS WITH A PLURALITY OF MODELS 有权

    公开(公告)号：US20210232944A1

    公开(公告)日：2021-07-29

    申请号：US16776313

    申请日：2020-01-29

    申请人： Walmart Apollo, LLC

    发明人： Theban Stanley ,  Samrat Kokkula ,  Poornima Candoth ,  Chhavi Yadav ,  Qian Li

    IPC分类号： G06N5/04 ,  G06Q30/06 ,  G06N20/00

    摘要： Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving item data for items from a catalog, assigning a task for evaluation of the item data, storing a plurality of task jobs to a task queue, repeatedly setting, in real time, a respective processor to perform a respective evaluation model, processing the plurality of task jobs stored to the task queue by determining, in real time, whether a first evaluation model set to be performed on a first processor is capable of meeting the first evaluation criteria of the first task data, performing, on the first processor, the first evaluation model on the first task data, and transmitting first first-evaluation-model-output instructions, and repeatedly updating, in real time, the task queue. Other embodiments are disclosed herein.

    SYSTEMS AND METHODS FOR IDENTIFYING ITEMS IN A DIGITAL IMAGE
    2.
    发明申请
    SYSTEMS AND METHODS FOR IDENTIFYING ITEMS IN A DIGITAL IMAGE 有权

    公开(公告)号：US20210019566A1

    公开(公告)日：2021-01-21

    申请号：US16514738

    申请日：2019-07-17

    申请人： Walmart Apollo, LLC

    发明人： Shreyansh Prakash Gandhi ,  Alessandro Magnani ,  Theban Stanley ,  Qian Li ,  Abilash Amarthaluri ,  Abon Chaudhuri ,  Behzad Ahmadi ,  Omer Ovenc ,  Venkatesh Kandaswamy

    IPC分类号： G06K9/62 ,  G06N3/08 ,  G06K9/34

    摘要： Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving one or more digital images from a repository of digital images; annotating the one or more digital images from the repository of digital images; digitally altering the one or more digital images, as annotated, from the repository of digital images; digitally combining the one or more digital images, as annotated and digitally altered, with at least one or more portions of one or more other digital images of the repository of digital images to create one or more combined digital images; training a machine learning algorithm on the one or more combined digital images; and storing the machine learning algorithm, as trained, in the one or more non-transitory computer readable storage devices.

    SYSTEMS AND METHODS FOR EXECUTING ATTENTION-BASED OBJECT SEARCHES ON IMAGES USING NEURAL NETWORK ARCHITECTURES
    3.
    发明申请
    SYSTEMS AND METHODS FOR EXECUTING ATTENTION-BASED OBJECT SEARCHES ON IMAGES USING NEURAL NETWORK ARCHITECTURES 有权

    公开(公告)号：US20220292129A1

    公开(公告)日：2022-09-15

    申请号：US17694517

    申请日：2022-03-14

    申请人： Walmart Apollo, LLC

    发明人： Theban Stanley ,  Nihar Vanjara ,  Yanxin Pan ,  Abon Chaudhuri ,  Nikash Walia

    IPC分类号： G06F16/53 ,  G06N3/08

    摘要： A systems including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: receiving a query image comprising at least one target object and at least one candidate image; generating a plurality of proposals based on the at least one candidate image; selecting a portion of the plurality of proposals to produce a reduced proposal set; generating a query embedding corresponding to the query image; generating candidate embeddings corresponding to the portion of the plurality of proposals included in the reduced proposal set; computing similarity scores for the portion of the plurality of proposals; and comparing the similarity scores to a threshold to determine if the at least one candidate image comprises the at least one target object. Other embodiments are disclosed herein.

    Systems and methods for processing of catalog items with a plurality of models
    9.
    发明授权
    Systems and methods for processing of catalog items with a plurality of models 有权

    公开(公告)号：US11531571B2

    公开(公告)日：2022-12-20

    申请号：US16776313

    申请日：2020-01-29

    申请人： Walmart Apollo, LLC

    发明人： Theban Stanley ,  Samrat Kokkula ,  Poornima Candoth ,  Chhavi Yadav ,  Qian Li

    IPC分类号： G06F9/50 ,  G06F9/48 ,  G06N20/00

    摘要： Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving item data for items from a catalog, assigning a task for evaluation of the item data, storing a plurality of task jobs to a task queue, repeatedly setting, in real time, a respective processor to perform a respective evaluation model, processing the plurality of task jobs stored to the task queue by determining, in real time, whether a first evaluation model set to be performed on a first processor is capable of meeting the first evaluation criteria of the first task data, performing, on the first processor, the first evaluation model on the first task data, and transmitting first first-evaluation-model-output instructions, and repeatedly updating, in real time, the task queue. Other embodiments are disclosed herein.

    SYSTEMS AND METHODS FOR IDENTIFYING NON-COMPLIANT IMAGES USING NEURAL NETWORK ARCHITECTURES
    10.
    发明申请
    SYSTEMS AND METHODS FOR IDENTIFYING NON-COMPLIANT IMAGES USING NEURAL NETWORK ARCHITECTURES 有权

    公开(公告)号：US20210232620A1

    公开(公告)日：2021-07-29

    申请号：US16773114

    申请日：2020-01-27

    申请人： Walmart Apollo, LLC

    发明人： Theban Stanley ,  Binwei Yang ,  Cun Mu

    IPC分类号： G06F16/53 ,  H04N1/32 ,  G06K9/46 ,  G06N3/04 ,  G06F16/953

    摘要： Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving images at an electronic platform; generating, using a fingerprinting network associated with a neural network architecture, feature embeddings corresponding to the images; generating, using the fingerprinting network, codes based on the feature embeddings; storing the codes in one or more databases; receiving, using a search component associated with the electronic platform, a non-compliant image comprising non-compliant content; and searching the codes in the one or more databases to identify one or more of the images that include non-compliant content similar to, or the same as, the non-compliant content included in the non-compliant image. Other embodiments are disclosed herein.