Fine-grained vehicle type classification using lightweight convolutional neural network with feature optimization and joint learning strategy

2020 ◽  
Author(s):  
Wei Sun ◽  
Guoce Zhang ◽  
Xiaorui Zhang ◽  
Xu Zhang ◽  
Nannan Ge
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Learning Strategy ◽  
Joint Learning ◽  
Fine Grained ◽  
Vehicle Type ◽  
Feature Optimization ◽  
Vehicle Type Classification ◽  
Type Classification

scholarly journals Vehicle Type Classification Using an Enhanced Sparse-Filtered Convolutional Neural Network With Layer-Skipping Strategy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 14265-14277
Author(s):  
Suryanti Awang ◽  
Nik Mohamad Aizuddin Nik Azmi ◽  
Md. Arafatur Rahman
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Vehicle Type ◽  
Vehicle Type Classification ◽  
Type Classification

scholarly journals Determining Optimal Architecture of CNN using Genetic Algorithm for Vehicle Classification System

2019 ◽  
Vol 13 (1) ◽  
pp. 63
Author(s):  
Wahyono Wahyono ◽  
Joko Hariyono
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Classification System ◽  
Learning Strategy ◽  
Classification Systems ◽  
Vehicle Classification ◽  
Vehicle Type ◽  
And Performance ◽  
Vehicle Type Classification ◽  
Type Classification

 Convolutional neural network is a machine learning that provides a good accura-cy for many problems in the field of computer vision, such as segmentation, de-tection, recognition, as well as classification systems. However, the results and performance of the system are affected by the CNN architecture. In this paper, we propose the utilization of evolutionary computation using genetic algorithm to de-termine the optimal architecture for CNN with transfer learning strategy from parent network. Furthermore, the optimal CNN produced is used as a model for the case of the vehicle type classification system. To evaluate the effectiveness of the utilization of evolutionary computing to CNN, the experiment will be conducted using vehicle classification datasets.

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