公开(公告)号：US11928563B2

公开(公告)日：2024-03-12

申请号：US17355347

申请日：2021-06-23

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

Inventor： Xingjian Li ,  Haoyi Xiong ,  Dejing Dou

IPC: G06N20/00 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24 ,  G06F18/25 ,  G06N5/04 ,  G06V10/774 ,  G06V10/82 ,  G06V10/84

CPC classification number: G06N20/00 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24 ,  G06F18/251 ,  G06N5/04 ,  G06V10/774 ,  G06V10/82 ,  G06V10/84

Abstract: The present application provides a model training, image processing method, device, storage medium, and program product relating to deep learning technology, which are able to screen auxiliary image data with image data for learning a target task, and further fuse the target image data and the auxiliary image data, so as to train a built and to-be-trained model with the fusion-processed fused image data. This implementation can increase the amount of data for training the model, and the data for training the model is determined is based on the target image data, which is suitable for learning the target task. Therefore, the solution provided by the present application can train an accurate target model even if the amount of target image data is not sufficient.