Image classification model training method and device and electronic equipment

• Main Authors: LYU JIAN, GUO RUOYU, DU YUNING, ZHOU YING, WEI SHENGYU, GAO TINGQUAN, CUI CHENG, LYU XUEYING
• Format: Patent
• Language: Chinese; English
• Published: 30.08.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention provides an image classification model training method and device and electronic equipment, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision. According to the specific implementation scheme, a target image sample set is acquired; respectively inputting each image sample in the target image sample set into a target backbone network model and a first teacher model to obtain a first classification probability output by the target backbone network model and a second classification probability output by the first teacher model; determining a loss function based on the first classification probability and the second classification probability; adjusting parameters of the target backbone network model based on the loss function; wherein the target backbone network model is used for determining the category of the image input to the target backbone network model, and the initial parameter of the target backbone netwo