Lightweight Semantic Segmentation for Road-Surface Damage Recognition Based on Multiscale Learning-Reference-Cited by-同舟云学术

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Lightweight Semantic Segmentation for Road-Surface Damage Recognition Based on Multiscale Learning

Published:2020 Issue: Volume:8 Page:102680-102690
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shim Seungbo^ORCID,Cho Gye-Chun

Funder

Korea Agency for Infrastructure Technology Advancement (KAIA) through the Ministry of Land, Infrastructure, and Transport

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09103506.pdf?arnumber=9103506

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4. GMDNet: An Irregular Pavement Crack Segmentation Method Based on Multi-Scale Convolutional Attention Aggregation;Electronics;2023-08-04

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