TABLE GENERATING METHOD AND APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PRODUCT

    公开(公告)号:US20220301334A1

    公开(公告)日:2022-09-22

    申请号:US17832735

    申请日:2022-06-06

    Abstract: The present disclosure provides a table generating method and apparatus, an electronic device, a storage medium and a product. A specific implementation is: recognizing at least one table object in a to-be-recognized image and obtaining a table property respectively corresponding to the at least one table object, where the table property of any table object includes a cell property or a non-cell property; determining at least one target object with the cell property in the at least one table object; determining a cell region respectively corresponding to the at least one target object to obtain cell position information respectively corresponding to the at least one target object; generating a spreadsheet corresponding to the to-be-recognized image according to the cell position information respectively corresponding to the at least one target object.

    IMAGE QUALITY ENHANCING
    803.
    发明申请

    公开(公告)号:US20220301108A1

    公开(公告)日:2022-09-22

    申请号:US17836913

    申请日:2022-06-09

    Abstract: The present disclosure provides a method and an apparatus for enhancing image quality, a device, and a medium, relates to the field of artificial intelligence and specifically to computer vision and deep learning technologies, and can be applied to an image processing scenario. The method includes: determining an ROI and an RONI in an image to be processed; inputting the ROI to an ROI image quality enhancement model, to obtain first image data output from the ROI image quality enhancement model; inputting the RONI to an RONI image quality enhancement model, to obtain second image data output from the RONI image quality enhancement model; and blending the first image data and the second image data.

    METHOD OF PREDICTING TRAFFIC VOLUME, ELECTRONIC DEVICE, AND MEDIUM

    公开(公告)号:US20220284807A1

    公开(公告)日:2022-09-08

    申请号:US17824966

    申请日:2022-05-26

    Abstract: A method of predicting traffic volume, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to big data and deep learning technologies The method includes: generating, for a plurality of traffic regions, a function relation graph and a volume relation graph; generating a volume feature of a target traffic region among the plurality of traffic regions, according to a historical volume information of the target traffic region; generating a volume and function relation feature for the target traffic region, based on the function relation graph and the volume relation graph; and predicting a volume of the target traffic region according to the volume feature and the volume and function relation feature.

    METHOD AND APPARATUS FOR TRAINING SPEECH RECOGNITION MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220277732A1

    公开(公告)日:2022-09-01

    申请号:US17747732

    申请日:2022-05-18

    Inventor: Qingen ZHAO

    Abstract: A method and apparatus for training a speech recognition model, an electronic device and a storage medium are provided. An implementation of the method may include: determining a plurality of feature vectors based on audio feature data corresponding to a first target frame in a sample speech, wherein the sample speech comprises a conversation among a plurality of objects and the sample speech has a corresponding sample text; generating a predicted text element corresponding to the first target frame based on an adjacent text element preceding to a text element corresponding to the first target frame in the sample text, wherein the text element and the adjacent text element are targeting at a target object in the plurality of objects; obtaining a first target text element based on the predicted text element and a first feature vector in the plurality of feature vectors; and adjusting the speech recognition model based on the first target text element and the sample text, to obtain a trained speech recognition model.

    METHOD OF TRAINING PREDICTION MODEL, PREDICTION METHOD, ELECTRONIC DEVICE AND MEDIUM

    公开(公告)号:US20220269952A1

    公开(公告)日:2022-08-25

    申请号:US17739555

    申请日:2022-05-09

    Abstract: Provided are a method of training a prediction model, a prediction method, an electronic device and a medium, which relate to the field of artificial intelligence technology, and in particular, to the field of Big Data. A prediction model includes a main prediction model and an auxiliary prediction model, a training sample set includes a project information sample of a project and an item information sample of an item associated with the project, a project information sample includes a project property information and a project comment information, and an item information sample includes an item comment information. The method includes: inputting the project comment information to the auxiliary prediction model to obtain an initial prediction semantic information; training the main prediction model by using the project property information and the initial prediction semantic information; and training the auxiliary prediction model by using the item comment information.

    METHOD AND APPARATUS FOR PROMPTING NAVIGATION INFORMATION, AND MEDIUM

    公开(公告)号:US20220246032A1

    公开(公告)日:2022-08-04

    申请号:US17727390

    申请日:2022-04-22

    Abstract: A method and apparatus for prompting navigation information. The method includes: acquiring, when a user is in an underground vehicle area, traffic behavior statuses of an underground vehicle at stops on a preset navigation route; determining, in response to the traffic behavior status of each stop of adjacent stops on the navigation route being consistent with a first preset traffic behavior status, a base station corresponding to a latter stop in the adjacent stops as a reference station; determining a location of a preset stop on the navigation route, based on a location of the reference station and locations of base stations provided at the stops; and outputting, in response to the traffic behavior status of the underground vehicle at the preset stop being consistent with a second preset traffic behavior status, prompt information for getting off.

    METHOD FOR TRAINING A FONT GENERATION MODEL, METHOD FOR ESTABLISHING A FONT LIBRARY, AND DEVICE

    公开(公告)号:US20220237935A1

    公开(公告)日:2022-07-28

    申请号:US17682099

    申请日:2022-02-28

    Abstract: Provided are a method for training a font generation model, a method for establishing a font library, and a device. The method for training a font generation model includes the following steps: a source-domain sample character is input into the font generation model to obtain a first target-domain generated character; the first target-domain generated character and a preset target-domain sample character are input into a character classification model to obtain a first feature loss of the font generation model; the first target-domain generated character and the target-domain sample character are input into a font classification model to obtain a second feature loss of the font generation model; a target feature loss is determined according to the first feature loss and/or the second feature loss; and the model parameter of the font generation model is updated according to the target feature loss.

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