Cargando…
MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention
Remote sensing image object detection holds significant research value in resources and the environment. Nevertheless, complex background information and considerable size differences between objects in remote sensing images make it challenging. This paper proposes an efficient remote sensing image...
Autores principales: | Su, Zihang, Yu, Jiong, Tan, Haotian, Wan, Xueqiang, Qi, Kaiyang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422293/ https://www.ncbi.nlm.nih.gov/pubmed/37571594 http://dx.doi.org/10.3390/s23156811 |
Ejemplares similares
-
Efficient-Lightweight YOLO: Improving Small Object Detection in YOLO for Aerial Images
por: Hu, Mengzi, et al.
Publicado: (2023) -
RSI-YOLO: Object Detection Method for Remote Sensing Images Based on Improved YOLO
por: Li, Zhuang, et al.
Publicado: (2023) -
YOLO-DRS: A Bioinspired Object Detection Algorithm for Remote Sensing Images Incorporating a Multi-Scale Efficient Lightweight Attention Mechanism
por: Liao, Huan, et al.
Publicado: (2023) -
Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection
por: Xu, Danqing, et al.
Publicado: (2020) -
LAG: Layered Objects to Generate Better Anchors for Object Detection in Aerial Images
por: Wan, Xueqiang, et al.
Publicado: (2022)