FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection

UAV-based object detection has recently attracted a lot of attention due to its diverse applications. Most of the existing convolution neural network based object detection models can perform well in common object detection cases. However, due to the fact that objects in UAV images are spatially dis...

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Detalles Bibliográficos
Autores principales: Xu, Wenyu, Zhang, Chaofan, Wang, Qi, Dai, Pangda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502707/
https://www.ncbi.nlm.nih.gov/pubmed/36146340
http://dx.doi.org/10.3390/s22186993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502707/
https://www.ncbi.nlm.nih.gov/pubmed/36146340
http://dx.doi.org/10.3390/s22186993

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