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dc.contributor.authorHu, Xiaojian
dc.contributor.authorLin, Chenxi
dc.contributor.authorYuan, Xunming
dc.date.accessioned2026-08-20T20:53:16Z
dc.date.available2026-08-20T20:53:16Z
dc.date.copyright2025/07/14
dc.date.issued2025
dc.identifier.otherJTEPBS.TEENG-8944.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313621
dc.description.abstractAbstractIn intelligent transportation systems, object counting is a crucial component of traffic scene perception. The traffic scene always has the properties of strong perspective effects and uneven density distribution, making most existing methods lose ...
dc.publisherAmerican Society of Civil Engineers
dc.titleSelective Scale Context Awareness Network for Object Counting in Intelligent Transportation System
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue9
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-8944
dc.journal.fristpage04025070-1
dc.journal.lastpage04025070-13
dc.page13
dc.treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 009
dc.contenttypeFulltext


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