Vehicle Type Recognition Algorithm Based on Improved Network in Network
Vehicle type recognition algorithms are broadly used in intelligent transportation, but the accuracy of the algorithms cannot meet the requirements of production application. For the high efficiency of the multilayer perceptive layer of Network in Network (NIN), the nonlinear features of local recep...
Saved in:
Main Authors: | Erxi Zhu, Min Xu, De Chang Pi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6061939 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on vehicle feature recognition algorithm based on optimized convolutional neural network
by: Xuan CHEN, et al.
Published: (2023-10-01) -
Improvement of identity adaptive recognition algorithm in visual sensor network
by: Na LI, et al.
Published: (2016-06-01) -
Neural network recognition algorithm of breath sounds based on SVM
by: Gou-dong LIU, et al.
Published: (2014-10-01) -
Vehicle Attribute Recognition for Normal Targets and Small Targets Based on Multitask Cascaded Network
by: Fang Liu, et al.
Published: (2019-01-01) -
Vehicle Detection Based on Multifeature Extraction and Recognition Adopting RBF Neural Network on ADAS System
by: Xuewen Chen, et al.
Published: (2020-01-01)