Abstract Re-identification (Re-ID) is a process that seeks to identify concern individuals from
successive non-overlapping photographs. The area of computer vision has recently seen an …

Vehicle re-identification (ReID) focuses on searching for images of the same vehicle across
different cameras and can be considered as the most fine-grained ID-level classification …

Vehicle re-identification (ReID) is the task of identifying the same vehicle across numerous
cameras. This is a complex classification task, and the fine-grained information and strong …

More robust intelligent transportation systems including autonomous driving systems are in
full flourish with the revolution of deep learning and the 6G wireless communication network …

Object appearances change dramatically with pose variations. This creates a challenge for
embedding schemes that seek to map instances with the same object ID to locations that are …

Vehicle ReID has been an active topic in computer vision, with a substantial number of deep
neural models proposed as end-to-end solutions. In this paper, we solve the problem from a …

Vehicle re-identification is one of the essential application of urban surveillance. Due to
enormous variation in inter-class and intra-class resemblance creates a challenge for …

Person/vehicle re‐identification aims to use technologies such as cross‐camera retrieval to
associate the same person (same vehicle) in the surveillance videos at different locations …

Vehicle re-identification (Re-ID) is urgently demanded to alleviate the pressure caused by
the increasingly onerous task of urban traffic management. Multiple challenges hamper the …

As a complex image classification problem, re-identification (ReID) requires the model to
capture diverse representative features of vehicles through different spatial orientation …