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Journal article

Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet

Cheng Cheng Orcid Logo

IET Intelligent Transport Systems

Swansea University Author: Cheng Cheng Orcid Logo

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DOI (Published version): 10.1049/itr2.70167

Published in: IET Intelligent Transport Systems
Published: Wiley
URI: https://cronfa.swan.ac.uk/Record/cronfa71396
first_indexed 2026-02-09T11:03:15Z
last_indexed 2026-02-10T05:32:17Z
id cronfa71396
recordtype SURis
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spelling 2026-02-09T11:42:50.3781290 v2 71396 2026-02-09 Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2026-02-09 MACS Journal Article IET Intelligent Transport Systems Wiley 0 0 0 0001-01-01 10.1049/itr2.70167 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) UK Research and Innovation (EP/W020408/1) 2026-02-09T11:42:50.3781290 2026-02-09T11:01:00.6437544 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Cheng Cheng 0000-0003-0371-9646 1
title Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
spellingShingle Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
Cheng Cheng
title_short Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
title_full Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
title_fullStr Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
title_full_unstemmed Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
title_sort Attention-Guided Lightweight CNN-Transformer Fusion for Real-Time Traffic Sign Recognition in Adverse Environments: HACTNet
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Cheng Cheng
format Journal article
container_title IET Intelligent Transport Systems
institution Swansea University
doi_str_mv 10.1049/itr2.70167
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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active_str 0
published_date 0001-01-01T05:34:01Z
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