公开(公告)号：US20230316699A1

公开(公告)日：2023-10-05

申请号：US18163918

申请日：2023-02-03

Applicant: INNER MONGOLIA UNIVERSITY OF TECHNOLOGY

Inventor： Yongsheng QI ,  Peiliang CHEN ,  Liqiang LIU ,  Yongting LI ,  Jianqiang SU

IPC: G06V10/26 ,  G06V10/80 ,  G06V10/40 ,  G06V10/82 ,  G06V10/776

CPC classification number: G06V10/26 ,  G06V10/40 ,  G06V10/82 ,  G06V10/776 ,  G06V10/806

Abstract: An image semantic segmentation algorithm and system based on multi-channel deep weighted aggregation where the image semantic segmentation algorithm is based on multi-channel deep weighted aggregation. The aggregation includes semantic features with definite class information in an image, transition semantic features between low-level semantic and high-level semantic, and semantic features of context logic relationship in an image are extracted by a low-level semantic channel, an auxiliary semantic channel and a high-level semantic channel, respectively. The aggregation further includes three different semantic features obtained in S1 are fused by weighted aggregation to obtain global semantic information of the image; S3, the semantic features output from respective semantic channels in S1 and the global semantic information in S2 are used to compute loss function for training.