METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM FOR DETERMINING PROMPT VECTOR OF PRE-TRAINED MODEL

    公开(公告)号:US20230222344A1

    公开(公告)日:2023-07-13

    申请号:US18118859

    申请日:2023-03-08

    CPC classification number: G06N3/082

    Abstract: A method for determining a prompt vector of a pre-trained model, includes: obtaining a first one of prompt vectors and a first vector corresponding to sample data; obtaining N pruned models by N different pruning processing on the pre-trained model, where N is any integer greater than 1; obtaining a first score corresponding to the first one of the prompt vectors by fusing the first vector and the first one of the prompt vectors and inputting the fused first vector and first one of the prompt vectors into the N pruned models respectively; determining a second one of the prompt vectors by modifying, based on the first score, the first one of the prompt vectors; and based on the second one of the prompt vectors, returning to obtaining the first score until determining a target prompt vector corresponding to the sample data.

    Video Title Generation Method, Device, Electronic Device and Storage Medium

    公开(公告)号:US20230222161A1

    公开(公告)日:2023-07-13

    申请号:US18049160

    申请日:2022-10-24

    CPC classification number: G06F16/7844 G06F40/279 G06V30/153

    Abstract: Provided are a video title generation method, an electronic device and a storage medium, which relate to a technical field of video, and in particular to a technical field of short video. The method includes: obtaining a plurality of pieces of optional text information, for a first video file; determining central text information, from the plurality of pieces of optional text information, the central text information being optional text information with the highest similarity to content of the first video file; and determining the central text information as a title of the first video file. That is, an interest point in an original video file can be determined according to user's interactive behavior data on the original video file, and the original video file can be clipped based on the interest point to obtain a plurality of clipped video files, namely, short videos.

    PRODUCT RECOGNITION METHOD, MODEL TRAINING METHOD, DEVICE AND ELECTRONIC DEVICE

    公开(公告)号:US20230214985A1

    公开(公告)日:2023-07-06

    申请号:US18181967

    申请日:2023-03-10

    CPC classification number: G06T7/0004 G06T2207/20081

    Abstract: A product recognition method and device, a model training method and device, and an electronic device are provided. The product recognition method includes: obtaining image data of a product; performing defect recognition on the image data based on a first recognition model, to obtain a first recognition result, wherein the first recognition model is configured to recognize a defective product; performing qualification recognition on the image data based on a second recognition model to obtain a second recognition result, wherein the second recognition model is configured to recognize a qualified product; determining a target recognition result of the product based on the first recognition result and the second recognition result.

    METHOD OF UPDATING ROAD INFORMATION, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230213353A1

    公开(公告)日:2023-07-06

    申请号:US18183003

    申请日:2023-03-13

    CPC classification number: G01C21/3815 G06T7/10 G06T5/002

    Abstract: A method of updating a road information, an electronic device, and a storage medium, which relate to an artificial intelligence technology field, in particular to fields of computer vision, deep learning, big data, high-definition map, intelligent transportation, automatic driving and autonomous parking, cloud service, Internet of Vehicles and intelligent cabin technologies. The method includes: processing image data corresponding to a target road region to obtain a set of first road lines; obtaining a set of second road lines according to a trajectory map corresponding to the target road region; calibrating the set of first road lines by using the set of second road lines to obtain a set of third road lines; combining the set of third road lines and a set of historical road lines corresponding to the target road region to obtain a combination result; and updating the set of historical road lines according to the combination result.

    FACE KEY POINT DETECTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

    公开(公告)号:US20230196825A1

    公开(公告)日:2023-06-22

    申请号:US17925380

    申请日:2020-09-23

    CPC classification number: G06V40/161 G06V10/449 G06V40/171 G06V40/172

    Abstract: A method for detecting facial key points includes obtaining a face image to be detected, and extracting key point detection information of the face image to be detected; obtaining key point template information of the template face image; determining a facial key point mapping relationship between the face image to be detected and the template face image in combination with the key point detection information and the key point template information; and filtering the key point detection information according to the facial key point mapping relationship and the key point template information to generate target key point information of the face image to be detected, wherein target facial key points in the target key point information are facial key points of an un-block area in the face image to be detected.

    METHOD AND SYSTEM FOR TRACKING TARGET PART, AND ELECTRONIC DEVICE

    公开(公告)号:US20230196587A1

    公开(公告)日:2023-06-22

    申请号:US17925527

    申请日:2020-10-14

    Abstract: A target part tracking method and apparatus, an electronic device and a computer-readable storage medium, which relate to the field of artificial intelligence, and specifically relate to computer vision. Said method may comprise: on the basis of a previous detection area for a target part of an object in a previous frame of a video, determining a current detection area for detecting the target part in a current frame of the video (302). The method further comprises: determining the probability of the target part being within the current detection area (304). In addition, the method may further comprise: in response to the probability being greater than or equal to a predetermined threshold, determining a subsequent detection area for detecting the target part in a subsequent frame of the video at least on the basis of the current detection area and the previous detection area (306). According to the method, position information of a tracked target part can be acquired rapidly, efficiently and at a low cost, thereby reducing the computing power and time costs for target part tracking.

    Method for Evaluating Text Content, and Related Apparatus

    公开(公告)号:US20230196026A1

    公开(公告)日:2023-06-22

    申请号:US18109813

    申请日:2023-02-14

    CPC classification number: G06F40/30 G06F40/289

    Abstract: A method for evaluating a text content, which may include: after splitting a to-be-evaluated text into a plurality of clauses arranged in sequence according to punctuation information of the to-be-evaluated text, determining a first clause of the plurality of clauses as an actual tune name; then, determining actual prosodic information based on a Chinese phonetic alphabet text of a third clause to a last clause in response to that a number of clauses, whose numbers of Chinese characters satisfy character count requirements of clauses corresponding to the actual tune name, from the third clause to the last clause exceeds a number threshold; and finally, in response to the actual prosodic information being consistent with a standard prosodic information of the actual tune name, evaluating the to-be-evaluated text as a Ci-poetry text.

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