Cargando…
Comparison of RetinaNet-Based Single-Target Cascading and Multi-Target Detection Models for Administrative Regions in Network Map Pictures
There is a critical need for detection of administrative regions through network map pictures in map censorship tasks, which can be implemented by target detection technology. However, on map images there tend to be numerous administrative regions overlaying map annotations and symbols, thus making...
Autores principales: | Du, Kaixuan, Che, Xianghong, Wang, Yong, Liu, Jiping, Luo, An, Ma, Ruiyuan, Xu, Shenghua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572589/ https://www.ncbi.nlm.nih.gov/pubmed/36236693 http://dx.doi.org/10.3390/s22197594 |
Ejemplares similares
-
Storm-Drain and Manhole Detection Using the RetinaNet Method
por: Santos, Anderson, et al.
Publicado: (2020) -
Wheat Ear Recognition Based on RetinaNet and Transfer Learning
por: Li, Jingbo, et al.
Publicado: (2021) -
Detection and identification of tea leaf diseases based on AX-RetinaNet
por: Bao, Wenxia, et al.
Publicado: (2022) -
Automatic Detection and Counting of Blood Cells in Smear Images Using RetinaNet
por: Drałus, Grzegorz, et al.
Publicado: (2021) -
Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet
por: Liu, Shangwang, et al.
Publicado: (2022)