Accurate and Efficient LIF-Nets for 3D Detection and Recognition

Accurate and Efficient LIF-Nets for 3D Detection and Recognition

3D object detection and recognition are crucial tasks for many spatiotemporal processing applications, such as computer-aided diagnosis and autonomous driving. Although prevalent 3D Convolution Nets (ConvNets) have continued to improve the accuracy and sensitivity, excessive computing resources are...

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Bibliographic Details
Main Authors: Yueting Shi, Hai Li, Hehui Zhang, Zhenzhi Wu, Shiwei Ren
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Spiking neural network
leaky integrate and fire model
3D detection
3D recognition
pulmonary nodule screening
Online Access:https://ieeexplore.ieee.org/document/9097201/

Internet

https://ieeexplore.ieee.org/document/9097201/

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