DenseTextPVT: Pyramid Vision Transformer with Deep Multi-Scale Feature Refinement Network for Dense Text Detection

Detecting dense text in scene images is a challenging task due to the high variability, complexity, and overlapping of text areas. To adequately distinguish text instances with high density in scenes, we propose an efficient approach called DenseTextPVT. We first generated high-resolution features a...

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Detalles Bibliográficos
Autores principales: Dinh, My-Tham, Choi, Deok-Jai, Lee, Guee-Sang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347224/
https://www.ncbi.nlm.nih.gov/pubmed/37447738
http://dx.doi.org/10.3390/s23135889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347224/
https://www.ncbi.nlm.nih.gov/pubmed/37447738
http://dx.doi.org/10.3390/s23135889

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