Capturing global and subtle discriminative information using attention mechanisms is
essential to address the challenge of inter-class high similarity for vehicle re-identification …

Vehicle Re-identification (Re-ID) refers to finding the same vehicle shot by other cameras
from a given vehicle image library, which can also be regarded as a sub-problem of image …

Vehicle re-identification (Re-ID) plays an important role in intelligent transportation systems.
To solve the key problem of small inter-class difference, we propose a vehicle Re-ID network …

Vehicle re-identification (re-id) technology refers to a vehicle matching under a non-
overlapping domain, that is, to confirm whether the vehicle target taken by cameras in …

The development of vehicle re-identification technology has significantly enhanced the
operational efficiency of intelligent transportation systems and smart cities, attributed to the …

Occluded person re-identification (ReID) is a challenging task as the images suffer from
various obstacles and less discriminative information caused by incomplete body parts. Most …

Learning fine-grained discriminative information is essential to address the challenges of
small inter-class differences and large intra-class differences in vehicle re-identification (Re …

Natural language-based vehicle retrieval is a task to find a target vehicle within a given
image based on a natural language description as a query. This technology can be applied …

A parked vehicle damaged by a hit-and-run can only be repaired at the expense of the
owner, unless the fleeing vehicle is identified and the driver apprehended. Identifying the …

The goal of vehicle re-identification is to identify the same vehicle from multiple cameras,
which is a challenging task. There are many solutions to this problem, among which the self …