Associate professor
Supervisor of Master's Candidates
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Affiliation of Author(s):计算机科学与工程学院
Journal:2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
Funded by:自选课题
Key Words:real-time; semantic segmentation; autonomous driving
Abstract:One of the fundamental tasks in computer vision is semantic segmentation, which is increasingly being widely applied, for example in autonomous driving. However, past research has often resulted in large computational overhead and high latency. To address this issue, we propose a lightweight architecture called Pyramid Simple Detail Injection Transformer (PSDFormer). Experimental results demonstrate the superiority of our approach in lightweight semantic segmentation. On the Cityscapes dataset, PSDFormer achieves an mIoU of 66.78 while achieving 57.1 fps.
Co-author:陈晨,鲍学良,仲昭昊
First Author:Kevin Liu
Indexed by:Essay collection
Page Number:2
Translation or Not:no
Date of Publication:2023-05-14
