公开(公告)号：US20230196117A1

公开(公告)日：2023-06-22

申请号：US18173310

申请日：2023-02-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zewei DU ,  Hengtong HU ,  Lingxi XIE ,  Qi TIAN

IPC: G06N3/0895 ,  G06V10/82 ,  G06V10/774 ,  G06V10/771

CPC classification number: G06N3/0895 ,  G06V10/82 ,  G06V10/7753 ,  G06V10/771

Abstract: Embodiments of this application disclose a training method for a semi-supervised learning model which can be applied to computer vision in the field of artificial intelligence. The method includes: first predicting classification categories of some unlabeled samples by using a trained first semi-supervised learning model, to obtain a prediction label; and determining whether each prediction label is correct in a one-bit labeling manner, and if prediction is correct, obtaining a correct label (a positive label) of the sample, or if prediction is incorrect, excluding an incorrect label (a negative label) of the sample. Then, in a next training phase, a training set (a first training set) is reconstructed based on the information, and an initial semi-supervised learning model is retrained based on the first training set, to improve prediction accuracy of the model. In one-bit labeling, an annotator only needs to answer “yes” or “no” for the prediction label.

公开(公告)号：US20220327835A1

公开(公告)日：2022-10-13

申请号：US17852684

申请日：2022-06-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Ke NING ,  Longhui WEI ,  Lingxi XIE ,  Jianzhuang LIU ,  Qi TIAN

IPC: G06V20/40 ,  G06V10/80

Abstract: A video clip location technology in the field of computer vision pertaining to artificial intelligence that provides a video processing method and apparatus. The method includes: obtaining a semantic feature of an input sentence; performing semantic enhancement on a video frame based on the semantic feature to obtain a video feature of the video frame, where the video feature includes the semantic feature; and determining, based on the semantic feature and the video feature, whether a video clip to which the video frame belongs is a target video clip corresponding to the input sentence. The method helps improve accuracy of recognizing a target video clip corresponding to an input sentence.

公开(公告)号：US20220130142A1

公开(公告)日：2022-04-28

申请号：US17573220

申请日：2022-01-11

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yuhui XU ,  Lingxi XIE ,  Xiaopeng ZHANG ,  Xin CHEN ,  Guojun QI ,  QI TIAN

IPC: G06V10/82 ,  G06V10/764 ,  G06N3/10 ,  G06N3/08

Abstract: Example neural architecture search methods and image processing methods and apparatuses in the field of computer vision in the field of artificial intelligence are provided. The example neural architecture search method includes determining search space and a plurality of construction units, superimposing the plurality of construction units to obtain a search network, adjusting, in the search space, network architectures of the construction units in the search network, to obtain optimized construction units, and establishing a target neural network based on the optimized construction units. In each construction unit, some channels of an output feature map of each node are processed by using a to-be-selected operation to obtain a processed feature map, and the processed feature map and a remaining feature map are stitched and then input to a next node.