A survey of advances in vision-based vehicle re-identification
Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …
its applications and research significance. In particular, the V-reID is an important problem …
Disentangled feature learning network and a comprehensive benchmark for vehicle re-identification
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 …
transportation. Large and comprehensive datasets are crucial for the development of vehicle …
Veri-wild: A large dataset and a new method for vehicle re-identification in the wild
Abstract Vehicle Re-identification (ReID) is of great significance to the intelligent
transportation and public security. However, many challenging issues of Vehicle ReID in …
transportation and public security. However, many challenging issues of Vehicle ReID in …
Embedding adversarial learning for vehicle re-identification
The high similarities of different real-world vehicles and great diversities of the acquisition
views pose grand challenges to vehicle re-identification (ReID), which traditionally maps the …
views pose grand challenges to vehicle re-identification (ReID), which traditionally maps the …
Vehicle re-identification in aerial imagery: Dataset and approach
In this work, we construct a large-scale dataset for vehicle re-identification (ReID), which
contains 137k images of 13k vehicle instances captured by UAV-mounted cameras. To our …
contains 137k images of 13k vehicle instances captured by UAV-mounted cameras. To our …
Unstructured feature decoupling for vehicle re-identification
The misalignment of features caused by pose and viewpoint variances is a crucial problem
in Vehicle Re-Identification (ReID). Previous methods align the features by structuring the …
in Vehicle Re-Identification (ReID). Previous methods align the features by structuring the …
Viewpoint and scale consistency reinforcement for UAV vehicle re-identification
This paper studies vehicle ReID in aerial videos taken by Unmanned Aerial Vehicles
(UAVs). Compared with existing vehicle ReID tasks performed with fixed surveillance …
(UAVs). Compared with existing vehicle ReID tasks performed with fixed surveillance …
Pamtri: Pose-aware multi-task learning for vehicle re-identification using highly randomized synthetic data
In comparison with person re-identification (ReID), which has been widely studied in the
research community, vehicle ReID has received less attention. Vehicle ReID is challenging …
research community, vehicle ReID has received less attention. Vehicle ReID is challenging …
Discriminative feature learning with co-occurrence attention network for vehicle ReID
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 …
videos. It remains a challenging task in the video analysis field due to the huge appearance …
Exploiting multi-view part-wise correlation via an efficient transformer for vehicle re-identification
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 …
However, most of existing works struggled to extract robust but discriminative features from a …