Dynamic Object Detection Algorithm Based on Lightweight Shared Feature Pyramid
Current object detection algorithms perform inference on all samples at a fixed computational cost in the inference stage, which wastes computing resources and is not flexible. To solve this problem, a dynamic object detection algorithm based on a lightweight shared feature pyramid is proposed, whic...
Guardado en:
Autores principales: | Li Zhu, Zihao Xie, Jing Luo, Yuhang Qi, Liman Liu, Wenbing Tao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3598857755d24172bce0127b86ff8af9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
SEFPN: Scale-Equalizing Feature Pyramid Network for Object Detection
por: Zhiqiang Zhang, et al.
Publicado: (2021) -
Multi-Level Refinement Feature Pyramid Network for Scale Imbalance Object Detection
por: Lubna Aziz, et al.
Publicado: (2021) -
Smoothing Complete Feature Pyramid Networks for Roll Mark Detection of Steel Strips
por: Qiwu Luo, et al.
Publicado: (2021) -
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion
por: Minghua Zhang, et al.
Publicado: (2021) -
Developing a Neuro-Fuzzy Inference System to Assess the Appropriateness of Retail Types with Product Features
por: Hamidreza Nezhadali Lafmejani, et al.
Publicado: (2021)