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Apr, 2021
车辆再识别的强基线
A Strong Baseline for Vehicle Re-Identification
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Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh...
TL;DR
本文提出了一种针对第五届AI城市挑战赛数据集Track 2的车辆识别方法,包括缩小真实与合成数据之间的域间差距、通过堆叠多个具有注意力机制的网络头进行网络修改、自适应损失权重调整等。该方法在不使用外部数据集或伪标签的情况下,在私人CityFlow测试集上实现61.34%的mAP,并在Veri基准测试中以87.1%的mAP超越了所有先前的工作。
Abstract
vehicle re-identification
(Re-ID) aims to identify the same vehicle across different cameras, hence plays an important role in modern
traffic management
systems. The technical challenges require the algorithms mu
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