HL-YOLO: Improving Vehicle Damage Detection with Heterogeneous Convolutions and Large-Kernel Attention

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Detalles Bibliográficos
Publicado en:	World Electric Vehicle Journal vol. 16, no. 12 (2025), p. 640-660
Autor principal:	Li, Weijun
Otros Autores:	Xie Huawei, Lin Peiteng, Huang, Liyan
Publicado:	MDPI AG
Materias:	Accuracy Datasets Deep learning Inclusion Computer vision Insurance Neural networks Effectiveness Damage detection Design Architecture Damage assessment Complexity Insurance claims Object recognition Localization Real time Intelligent transportation systems Semantics Vehicles
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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