Learning for Data Synthesis: Joint Local Salient Projection and Adversarial Network Optimization for Vehicle Re-Identification

Learning for Data Synthesis: Joint Local Salient Projection and Adversarial Network Optimization for Vehicle Re-Identification

The problem of vehicle re-identification in surveillance scenarios has grown in popularity as a research topic. Deep learning has been successfully applied in re-identification tasks in the last few years due to its superior performance. However, deep learning approaches require a large volume of tr...

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Bibliographic Details
Main Authors: Yanbing Chen, Wei Ke, Wei Zhang, Cui Wang, Hao Sheng, Zhang Xiong
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
vehicle re-identification
sample synthesis
adversarial module
parameter agent network
convolutional neural network
self-attention mechanism
Online Access:https://www.mdpi.com/1424-8220/22/23/9539

Internet

https://www.mdpi.com/1424-8220/22/23/9539

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