公开(公告)号：US20230252295A1

公开(公告)日：2023-08-10

申请号：US18300217

申请日：2023-04-13

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

Inventor： Shuo LI ,  Lei NIE ,  Xiaowen XU

IPC: G06N3/08

CPC classification number: G06N3/08 ,  G06V10/778

Abstract: A method of generating a multimodal set of samples for an intelligent inspection, and a training method, which relate to a field of an artificial intelligence technology, in particular to fields of deep learning, natural language processing, speech technology, computer vision, big data and so on. The method of generating a multimodal set of samples includes: inputting an environmental sample in a collected multimodal set of environmental samples into a single-modal model matched with a modality of the environmental sample, so as to obtain a model processing result corresponding to the environmental sample; determining an initial set of samples from the multimodal set of environmental samples according to the model processing result; and processing the initial set of samples by means of an active learning, so as to determine the multimodal set of samples.