… Vehicle re-identification (re-ID) aims at identifying the same … global-based ones in re-ID
retrieval accuracy. This is due to that … Local regions of the vehicle provide discriminative details …

… -AND-REUNION LEARNING In this section, we first formulate the vehicle reidentification
problem and give … Given a query vehicle image, vehicle ReID aims to retrieve all images of the …

… , and then have combined semantic information to improve the image retrieval performance
… method for vehicle re-identification to determine the characteristics and differences among …

… Contrastly, spatio-temporal information for vehicle reidentification is usually available
because of the rapid popularization of video monitoring systems. Hence, it is more efficient to …

… parison, is termed as vehicle Re-Identification (ReID), which … 4.4 Network Learning To learn
discriminative common and … results retrieved by the DFNet, the ground-truth vehicle samples …

… related work concerning vehicle reidentification. Section III … 𝑃𝑟𝑒𝑐(𝑘) represents the precision
of the retrieval result at the … the retrieval result correctly matches the query vehicle image in …

… significant to remove ID-unrelated information for vehicle re-Identification (re-ID). Therefore,
it is … networks to extract discriminant ID-related features from different vehicles that are highly …

… With an increasing demand for public security and the rapid growth of vehicles, vehicle re-identification
(re-ID) has become one of the most crucial technologies for intelligent urban …

… partial attention network for vehicle re-identification. They have … ID loss to learn a more
discriminative feature for vehicle ReID. … of retrieving the target vehicle in challenging vehicle ReID …

… vehicle information to improve the vehicle re-identification … to learn the global-level
discriminative features. For instance, … person retrieval [9], we extracted some features of vehicles …