Learning super-resolution and pyramidal convolution residual network for vehicle re-identification

Learning super-resolution and pyramidal convolution residual network for vehicle re-identification

Abstract Vehicle re-identification (Vehicle Re-ID) aims at retrieving and tracking the specified target vehicle with multiple other cameras, which can provide help in checking violations and catching fugitives, but there are still the following problems that need to be solved urgently. First, the ex...

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Bibliographic Details
Main Authors: Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-77973-8
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