Tunnel crack detection method and system
The invention relates to the technical field of computer vision, and discloses a tunnel crack detection method and system.The method comprises the steps that a multi-head detection structure is introduced into a semantic segmentation model, and features of a plurality of hierarchical backbone networ...
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creator | FAN JINCHUAN LI WEI SHU YUEHENG HE ZHENGSHU ZHANG CHUAN XU GUOWEN WU XIAO |
description | The invention relates to the technical field of computer vision, and discloses a tunnel crack detection method and system.The method comprises the steps that a multi-head detection structure is introduced into a semantic segmentation model, and features of a plurality of hierarchical backbone networks are connected with different segmentation heads; wherein the multi-head detection structure can establish a plurality of branches in the backbone network, and each branch is connected with a different hierarchy of the backbone. According to the invention, the problems of low precision and the like in the prior art are solved.
本发明涉及计算机视觉技术领域,公开了一种隧道裂缝检测方法及系统,该方法在语义分割模型中引入多头检测结构,将多个层级骨干网络的特征与不同分割头相连接;其中,多头检测结构能在骨干网络中建立多个分支,每个分支与骨干的不同层级相连接。本发明解决了现有技术存在的精度较低等问题。 |
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本发明涉及计算机视觉技术领域,公开了一种隧道裂缝检测方法及系统,该方法在语义分割模型中引入多头检测结构,将多个层级骨干网络的特征与不同分割头相连接;其中,多头检测结构能在骨干网络中建立多个分支,每个分支与骨干的不同层级相连接。本发明解决了现有技术存在的精度较低等问题。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240621&DB=EPODOC&CC=CN&NR=118230060A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240621&DB=EPODOC&CC=CN&NR=118230060A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FAN JINCHUAN</creatorcontrib><creatorcontrib>LI WEI</creatorcontrib><creatorcontrib>SHU YUEHENG</creatorcontrib><creatorcontrib>HE ZHENGSHU</creatorcontrib><creatorcontrib>ZHANG CHUAN</creatorcontrib><creatorcontrib>XU GUOWEN</creatorcontrib><creatorcontrib>WU XIAO</creatorcontrib><title>Tunnel crack detection method and system</title><description>The invention relates to the technical field of computer vision, and discloses a tunnel crack detection method and system.The method comprises the steps that a multi-head detection structure is introduced into a semantic segmentation model, and features of a plurality of hierarchical backbone networks are connected with different segmentation heads; wherein the multi-head detection structure can establish a plurality of branches in the backbone network, and each branch is connected with a different hierarchy of the backbone. According to the invention, the problems of low precision and the like in the prior art are solved.
本发明涉及计算机视觉技术领域,公开了一种隧道裂缝检测方法及系统,该方法在语义分割模型中引入多头检测结构,将多个层级骨干网络的特征与不同分割头相连接;其中,多头检测结构能在骨干网络中建立多个分支,每个分支与骨干的不同层级相连接。本发明解决了现有技术存在的精度较低等问题。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAIKc3LS81RSC5KTM5WSEktSU0uyczPU8hNLcnIT1FIzEtRKK4sLknN5WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoYWRsYGBmYGjsbEqAEAyUYoKw</recordid><startdate>20240621</startdate><enddate>20240621</enddate><creator>FAN JINCHUAN</creator><creator>LI WEI</creator><creator>SHU YUEHENG</creator><creator>HE ZHENGSHU</creator><creator>ZHANG CHUAN</creator><creator>XU GUOWEN</creator><creator>WU XIAO</creator><scope>EVB</scope></search><sort><creationdate>20240621</creationdate><title>Tunnel crack detection method and system</title><author>FAN JINCHUAN ; LI WEI ; SHU YUEHENG ; HE ZHENGSHU ; ZHANG CHUAN ; XU GUOWEN ; WU XIAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118230060A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>FAN JINCHUAN</creatorcontrib><creatorcontrib>LI WEI</creatorcontrib><creatorcontrib>SHU YUEHENG</creatorcontrib><creatorcontrib>HE ZHENGSHU</creatorcontrib><creatorcontrib>ZHANG CHUAN</creatorcontrib><creatorcontrib>XU GUOWEN</creatorcontrib><creatorcontrib>WU XIAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FAN JINCHUAN</au><au>LI WEI</au><au>SHU YUEHENG</au><au>HE ZHENGSHU</au><au>ZHANG CHUAN</au><au>XU GUOWEN</au><au>WU XIAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Tunnel crack detection method and system</title><date>2024-06-21</date><risdate>2024</risdate><abstract>The invention relates to the technical field of computer vision, and discloses a tunnel crack detection method and system.The method comprises the steps that a multi-head detection structure is introduced into a semantic segmentation model, and features of a plurality of hierarchical backbone networks are connected with different segmentation heads; wherein the multi-head detection structure can establish a plurality of branches in the backbone network, and each branch is connected with a different hierarchy of the backbone. According to the invention, the problems of low precision and the like in the prior art are solved.
本发明涉及计算机视觉技术领域,公开了一种隧道裂缝检测方法及系统,该方法在语义分割模型中引入多头检测结构,将多个层级骨干网络的特征与不同分割头相连接;其中,多头检测结构能在骨干网络中建立多个分支,每个分支与骨干的不同层级相连接。本发明解决了现有技术存在的精度较低等问题。</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Tunnel crack detection method and system |
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