Cargando…
Real-time airplane detection using multi-dimensional attention and feature fusion
The remote sensing image airplane object detection tasks remain a challenge such as missed detection and misdetection, and that is due to the low resolution occupied by airplane objects and large background noise. To address the problems above, we propose an AE-YOLO (Accurate and Efficient Yolov4-ti...
Autores principales: | Li, Li, Peng, Na, Li, Bingxue, Liu, Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280687/ https://www.ncbi.nlm.nih.gov/pubmed/37346692 http://dx.doi.org/10.7717/peerj-cs.1331 |
Ejemplares similares
-
The multi-modal fusion in visual question answering: a review of attention mechanisms
por: Lu, Siyu, et al.
Publicado: (2023) -
A pan-sharpening network using multi-resolution transformer and two-stage feature fusion
por: Fan, Wensheng, et al.
Publicado: (2023) -
Enhanced mechanisms of pooling and channel attention for deep learning feature maps
por: Li, Hengyi, et al.
Publicado: (2022) -
Improved YOLOv4-tiny based on attention mechanism for skin detection
por: Li, Ping, et al.
Publicado: (2023) -
An artificial intelligence based news feature mining system based on the Internet of Things and multi-sensor fusion
por: Xie, Zhuozheng, et al.
Publicado: (2023)