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 …
Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval
While image retrieval and instance recognition techniques are progressing rapidly, there is a
need for challenging datasets to accurately measure their performance--while posing novel …
need for challenging datasets to accurately measure their performance--while posing novel …
Gan-siamese network for cross-domain vehicle re-identification in intelligent transport systems
The vehicle re-identification (Re-ID) has become one of most important techniques for
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
A survey of vehicle re-identification based on deep learning
H Wang, J Hou, N Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle re-identification is one of the core technologies of intelligent transportation systems,
and it is crucial for the construction of smart cities. With the rapid development of deep …
and it is crucial for the construction of smart cities. With the rapid development of deep …
Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification
In this paper, we tackle the vehicle Re-identification (ReID) problem which is of great
importance in urban surveillance and can be used for multiple applications. In our vehicle …
importance in urban surveillance and can be used for multiple applications. In our vehicle …
Provid: Progressive and multimodal vehicle reidentification for large-scale urban surveillance
Compared with person reidentification, which has attracted concentrated attention, vehicle
reidentification is an important yet frontier problem in video surveillance and has been …
reidentification is an important yet frontier problem in video surveillance and has been …
Learning deep neural networks for vehicle re-id with visual-spatio-temporal path proposals
Vehicle re-identification is an important problem and has many applications in video
surveillance and intelligent transportation. It gains increasing attention because of the recent …
surveillance and intelligent transportation. It gains increasing attention because of the recent …
Group-sensitive triplet embedding for vehicle reidentification
The widespread use of surveillance cameras toward smart and safe cities poses the critical
but challenging problem of vehicle reidentification (Re-ID). The state-of-the-art research …
but challenging problem of vehicle reidentification (Re-ID). The state-of-the-art research …
VehicleNet: Learning robust visual representation for vehicle re-identification
One fundamental challenge of vehicle re-identification (re-id) is to learn robust and
discriminative visual representation, given the significant intra-class vehicle variations …
discriminative visual representation, given the significant intra-class vehicle variations …
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 …