Vehicle Re-Identification (ReID) aims to find images of the same vehicle from different
videos. It remains a challenging task in the video analysis field due to the huge appearance …

Abstract Vehicle Re-Identification is to find images of the same vehicle from various views in
the cross-camera scenario. The main challenges of this task are the large intra-instance …

In this work, we propose a large-scale dataset, VRAI, and an effective Orientation Adaptive
and Salience Attentive (OASA) Network for vehicle re-identification (ReID) in aerial imagery …

Vehicle Re-Identification (ReID) is of great significance for public security and intelligent
transportation. Large and comprehensive datasets are crucial for the development of vehicle …

Image-based vehicle re-identification (ReID) has witnessed much progress in recent years.
However, most of existing works struggled to extract robust but discriminative features from a …

Given a query image, vehicle Re-Identification is to search the same vehicle in multi-camera
scenarios, which are attracting much attention in recent years. However, vehicle ReID …

Abstract Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle
across images from different camera viewpoints. Many works explore attribute clues to …

Vehicle Re-Identification (Re-ID) is a challenging vision task mainly because the
appearance of a vehicle varies dramatically under different viewpoints. Moreover, different …

Vehicle re-identification (ReID) aims to identify a target vehicle in different cameras with non-
overlapping views, and it plays an important role when the car licence plate recognition is …

Most existing methods on vehicle Re-Identification (ReID) extract global features on
vehicles. However, as some vehicles have the same model and color, it is hard to …