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An improved YOLOv5s model using feature concatenation with attention mechanism for real-time fruit detection and counting
An improved YOLOv5s model was proposed and validated on a new fruit dataset to solve the real-time detection task in a complex environment. With the incorporation of feature concatenation and an attention mechanism into the original YOLOv5s network, the improved YOLOv5s recorded 122 layers, 4.4 × 10...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332635/ https://www.ncbi.nlm.nih.gov/pubmed/37434602 http://dx.doi.org/10.3389/fpls.2023.1153505 |