Cargando…
LAG: Layered Objects to Generate Better Anchors for Object Detection in Aerial Images
You Only Look Once (YOLO) series detectors are suitable for aerial image object detection because of their excellent real-time ability and performance. Their high performance depends heavily on the anchor generated by clustering the training set. However, the effectiveness of the general Anchor Gene...
Autores principales: | Wan, Xueqiang, Yu, Jiong, Tan, Haotian, Wang, Junjie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144023/ https://www.ncbi.nlm.nih.gov/pubmed/35632300 http://dx.doi.org/10.3390/s22103891 |
Ejemplares similares
-
Efficient-Lightweight YOLO: Improving Small Object Detection in YOLO for Aerial Images
por: Hu, Mengzi, et al.
Publicado: (2023) -
MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention
por: Su, Zihang, et al.
Publicado: (2023) -
Lightweight Object Detection Algorithm for UAV Aerial Imagery
por: Wang, Jian, et al.
Publicado: (2023) -
Lightweight aerial image object detection algorithm based on improved YOLOv5s
por: Deng, Lixia, et al.
Publicado: (2023) -
Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection
por: Zhang, Jinpeng, et al.
Publicado: (2018)