NRT-YOLO: Improved YOLOv5 Based on Nested Residual Transformer for Tiny Remote Sensing Object Detection

To address the problems of tiny objects and high resolution of object detection in remote sensing imagery, the methods with coarse-grained image cropping have been widely studied. However, these methods are always inefficient and complex due to the two-stage architecture and the huge computation for...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yukuan, He, Guanglin, Wang, Zehu, Li, Weizhe, Huang, Hongfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269754/
https://www.ncbi.nlm.nih.gov/pubmed/35808445
http://dx.doi.org/10.3390/s22134953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269754/
https://www.ncbi.nlm.nih.gov/pubmed/35808445
http://dx.doi.org/10.3390/s22134953

Ejemplares similares