… a Deep Joint Discriminative Learning (DJDL) model for vehicle re-identification and retrieval
… In this section, we evaluate the DJDL method on the vehicle re-identification task. We follow …

… 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 …

… Person re-identification (re-id) aims to establish identity correspondences across different
cameras. It is often approached as a metric learning problem [52], where one seeks to retrieve …

… -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 …

… vehicles via the Euclidean distance in a discriminative null … 13] method is proposed to retrieve
vehicle images, in which the … training a deep learning based vehicle re-identification model …

… , 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 …

… paper, vehicle re-identification based on deep learning is … out vehicle re-identification and
retrieval, the obtained vehicle … the discriminative capability of the re-identification model. It …

… 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 …

… the deep-learning-based models for vehicle re-identification. … The true positive retrieved
vehicle images are bounded with … high discriminating features by learning the intra/inter vehicles-…