METHODS AND APPARATUSES FOR DETERMINING OBJECT CLASSIFICATION

    公开(公告)号:US20220398400A1

    公开(公告)日:2022-12-15

    申请号:US17364423

    申请日:2021-06-30

    IPC分类号: G06K9/00 G06K9/62 G06N3/08

    摘要: The embodiments of the present disclosure provide a method and an apparatus for determining object classification. The method may include: performing, by a target detection network, an object detection on a first image, to obtain a first classification confidence of a target object involved in the first image; obtaining an object image comprising a re-detection object from the first image, and performing, by a filter, the object detection on the object image, to determine a second classification confidence of the re-detection object; wherein the re-detection object is the target object whose first classification confidence is within a preset threshold range; correcting the first classification confidence of the re-detection object based on the second classification confidence to obtain an updated confidence; determining a classification detection result of the re-detection object based on the updated confidence.

    Target Detection Methods, Apparatuses, Electronic Devices and Computer-Readable Storage Media

    公开(公告)号:US20220405527A1

    公开(公告)日:2022-12-22

    申请号:US17364059

    申请日:2021-06-30

    摘要: A target detection method and apparatus, an electronic device and a computer-readable storage medium are provided by the embodiments of the present disclosure. The method includes: obtaining a detection result by performing a target detection on a to-be-detected image, wherein the detection result comprises a target classification to which a target object involved in the to-be-detected image belongs and position information corresponding to the target object involved in the to-be-detected image; cropping out a proposal image involving the target object from the to-be-detected image based on the position information; determining a confidence that the target object belongs to a target classification based on the proposal image; and deleting, in response to that the confidence is less than a preset threshold, an information item concerned the target object from the detection result.

    METHODS, APPARATUSES, DEVICES AND STORAGE MEDIA FOR DETECTING CORRELATED OBJECTS INVOLVED IN IMAGE

    公开(公告)号:US20220300774A1

    公开(公告)日:2022-09-22

    申请号:US17364582

    申请日:2021-06-30

    IPC分类号: G06K9/64 G06K9/00 G06K9/62

    摘要: The present disclosure provides methods, apparatuses, devices and storage media for detecting correlated objects involved in image. The method can include: detecting a face object, a hand object and a preset body part object involved in a target image, wherein the preset body part object represents a preset connection part between a face and a hand;
    respectively predicting correlation between the detected face object and the detected preset body part object, and correlation between the detected preset body part object and the detected hand object, to obtain a first correlation prediction result between the face object and the preset body part object, and a second correlation prediction result between the preset body part object and the hand object; and determining correlated objects involved in the target image based on the first correlation prediction result and the second correlation prediction result.

    Image processing method and apparatus, and electronic device

    公开(公告)号:US11354883B2

    公开(公告)日:2022-06-07

    申请号:US16876256

    申请日:2020-05-18

    IPC分类号: G06V20/40 G06V10/44 G06V10/75

    摘要: Embodiments of the present disclosure disclose an image processing method and apparatus, and an electronic device. The method includes: obtaining a key frame image that includes a target object, and obtaining a to-be-processed frame image that includes the target object; extracting a feature point in the key frame image and a feature point in the to-be-processed frame image, respectively; determining a matching relationship between each feature point in the key frame image and each feature point in the to-be-processed frame image; determining a transformation relationship based on the feature point in the key frame image and a feature point in the to-be-processed frame image that matches the feature point in the key frame image; and processing the to-be-processed frame image based on the transformation relationship to obtain a target frame image.