Vehicle re-identification in still images: Application of semi-supervised learning and re-ranking

作者：

Highlights：

• We propose a novel semi-supervised learning for vehicle re-ID task.

• We present a re-ranking method which is firstly introduced for the vehicle re-ID task.

• Achieve state-of-the-art results on two benchmark datasets, VeRi-776 and VehicleID.

• We apply the single shot setting on the VehicleReID and obtain promising results.

摘要

•We propose a novel semi-supervised learning for vehicle re-ID task.•We present a re-ranking method which is firstly introduced for the vehicle re-ID task.•Achieve state-of-the-art results on two benchmark datasets, VeRi-776 and VehicleID.•We apply the single shot setting on the VehicleReID and obtain promising results.

论文关键词：Vehicle re-identification,Convolutional neural networks,Semi-supervised learning,Re-ranking

论文评审过程：Received 2 June 2018, Revised 27 March 2019, Accepted 26 April 2019, Available online 2 May 2019, Version of Record 26 May 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.04.021