Cargando…
A Single Target Grasp Detection Network Based on Convolutional Neural Network
Grasp detection based on convolutional neural network has gained some achievements. However, overfitting of multilayer convolutional neural network still exists and leads to poor detection precision. To acquire high detection accuracy, a single target grasp detection network that generalizes the fit...
Autores principales: | Zhang, Longzhi, Wu, Dongmei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315885/ https://www.ncbi.nlm.nih.gov/pubmed/34335718 http://dx.doi.org/10.1155/2021/5512728 |
Ejemplares similares
-
Robotic Grasp Detection Network Based on Improved Deformable Convolution and Spatial Feature Center Mechanism
por: Zou, Miao, et al.
Publicado: (2023) -
Detection of Aerobics Action Based on Convolutional Neural Network
por: Zhang, Siyu
Publicado: (2022) -
Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications
por: Iriondo, Ander, et al.
Publicado: (2021) -
Convolutional Neural Network-Based Discriminator for Outlier Detection
por: Alharbi, Fahad, et al.
Publicado: (2021) -
Convolutional neural network-based surgical instrument detection
por: Cai, Tongbiao, et al.
Publicado: (2020)