Cargando…
AAF-Net: Scene text detection based on attention aggregation features
With the advent of the era of artificial intelligence, text detection is widely used in the real world. In text detection, due to the limitation of the receptive field of the neural network, most existing scene text detection methods cannot accurately detect small target text instances in any direct...
Autores principales: | Chen, Mengmeng, Ibrayim, Mayire, Hamdulla, Askar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355182/ https://www.ncbi.nlm.nih.gov/pubmed/35930564 http://dx.doi.org/10.1371/journal.pone.0272322 |
Ejemplares similares
-
Scene Text Detection Based on Two-Branch Feature Extraction
por: Ibrayim, Mayire, et al.
Publicado: (2022) -
MR-FPN: Multi-Level Residual Feature Pyramid Text Detection Network Based on Self-Attention Environment
por: Kang, Jianjun, et al.
Publicado: (2022) -
Multi-Feature Single Target Robust Tracking Fused with Particle Filter
por: Liu, Caihong, et al.
Publicado: (2022) -
Detection of Pine Wilt Nematode from Drone Images Using UAV
por: Sun, Zhengzhi, et al.
Publicado: (2022) -
Attention-Based Scene Text Detection on Dual Feature Fusion
por: Li, Yuze, et al.
Publicado: (2022)