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A lightweight cross-scale EDS-DETR model for hazard detection in transmission corridors

Abstract Visual inspection technology has been widely employed for identifying external hazards in transmission corridors. However, Convolutional Neural Networks (CNNs) exhibit limitations in multi-scale target detection within complex environments while struggling to balance accuracy and lightweigh...

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Autori principali: He Su, Jiaomin Liu, Zhenzhou Wang, Pingping Yu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2025-12-01
Serie:Scientific Reports
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Accesso online:https://doi.org/10.1038/s41598-025-27403-0
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