Industrial equipment detection algorithm under complex working conditions based on ROMS R-CNN

In the paper, we proposed a deep learning-based industrial equipment detection algorithm ROMS R-CNN (Rotation Occlusion Multi-Scale Region-CNN). It can solve the problem of inaccurate detection of industrial equipment under complex working conditions such as multi-scale ratio, rotation tilt, occlusi...

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Detalles Bibliográficos
Autores principales: Wu, Junpeng, Tang, Shaobo, Li, Xianglei, Zhou, Yibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989219/
https://www.ncbi.nlm.nih.gov/pubmed/35390048
http://dx.doi.org/10.1371/journal.pone.0266444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989219/
https://www.ncbi.nlm.nih.gov/pubmed/35390048
http://dx.doi.org/10.1371/journal.pone.0266444

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