公开(公告)号：US20220129731A1

公开(公告)日：2022-04-28

申请号：US17568296

申请日：2022-01-04

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Ruoyu GUO ,  Yuning DU ,  Chenxia LI ,  Tingquan GAO ,  Qiao ZHAO ,  Qiwen LIU ,  Ran BI ,  Xiaoguang Hu ,  Dianhai YU ,  Yanjun MA

IPC: G06N3/04 ,  G06N3/08

Abstract: The present disclosure provides a method and apparatus for training an image recognition model, and a method and apparatus for recognizing an image, and relates to the field of artificial intelligence, and particularly to the fields of deep learning and computer vision. A specific implementation comprises: acquiring a tagged sample set, an untagged sample set and a knowledge distillation network; and performing following training steps: selecting an input sample from the tagged sample set and the untagged sample set, and accumulating a number of iterations; inputting respectively the input sample into a student network and a teacher network of the knowledge distillation network to train the student network and the teacher network; and selecting an image recognition model from the student network and the teacher network, if a training completion condition is satisfied.