HISFCOS: Half-Inverted Stage Block for Efficient Object Detection Based on Deep Learning

Recent advances in object detection play a key role in various industrial applications. However, a fully convolutional one-stage detector (FCOS), a conventional object detection method, has low detection accuracy given the calculation cost. Thus, in this study, we propose a half-inverted stage FCOS...

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Detalles Bibliográficos
Autores principales: Hwang, Beomyeon, Lee, Sanghun, Lee, Seunghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026111/
https://www.ncbi.nlm.nih.gov/pubmed/35448244
http://dx.doi.org/10.3390/jimaging8040117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026111/
https://www.ncbi.nlm.nih.gov/pubmed/35448244
http://dx.doi.org/10.3390/jimaging8040117

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