公开(公告)号：US20220004811A1

公开(公告)日：2022-01-06

申请号：US17479061

申请日：2021-09-20

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

Inventor： Ruoyu GUO ,  Yuning DU ,  Weiwei LIU ,  Xiaoting YIN ,  Qiao ZHAO ,  Qiwen LIU ,  Ran BI ,  Xiaoguang HU ,  Dianhai YU ,  Yanjun MA

IPC: G06K9/62

Abstract: There is provided a method and apparatus of training a model, a device, and a medium, which relate to artificial intelligence, and in particular to a deep learning and image processing technology. The method may include: determining a plurality of augmented sample sets associated with a plurality of original samples; determining a first constraint according to a first model based on the plurality of augmented sample sets; determining a second constraint according to the first model and a second model based on the plurality of augmented sample sets, wherein the second constraint is associated with a difference between outputs of the first model and the second model for one augmented sample, and the first model has a complexity lower than that of the second model; training the first model based on at least the first constraint and the second constraint, so as to obtain a trained first model.