Stripe-based and attribute-aware network: A two-branch deep model for vehicle re-identification

J Qian, W Jiang, H Luo, H Yu - Measurement Science and …, 2020 - iopscience.iop.org
Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of
computer vision due to the growing utilization of surveillance cameras in public security …

TBE-Net: A three-branch embedding network with part-aware ability and feature complementary learning for vehicle re-identification

W Sun, G Dai, X Zhang, X He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle re-identification (Re-ID) is one of the promising applications in the field of computer
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …

Attributes guided feature learning for vehicle re-identification

H Li, X Lin, A Zheng, C Li, B Luo, R He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in
smart city and urban surveillance. However, it suffers from large intra-class variation caused …

Attribute and state guided structural embedding network for vehicle re-identification

H Li, C Li, A Zheng, J Tang… - IEEE transactions on image …, 2022 - ieeexplore.ieee.org
Vehicle re-identification (Re-ID) is a crucial task in smart city and intelligent transportation,
aiming to match vehicle images across non-overlapping surveillance camera scenarios …

Two-level attention network with multi-grain ranking loss for vehicle re-identification

H Guo, K Zhu, M Tang, J Wang - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
Vehicle re-identification (re-ID) aims to identify the same vehicle across multiple non-
overlapping cameras, which is rather a challenging task. On the one hand, subtle changes …

CFVMNet: A multi-branch network for vehicle re-identification based on common field of view

Z Sun, X Nie, X Xi, Y Yin - Proceedings of the 28th ACM international …, 2020 - dl.acm.org
Vehicle re-identification (re-ID) aims to retrieve the image of the same vehicles across
multiple cameras. It has attracted wide attention in the field of computer vision owing to the …

[PDF][PDF] Vehicle Re-Identification Model Based on Optimized DenseNet121 with Joint Loss.

X Zhang, X Chen, W Sun, X He - Computers, Materials & …, 2021 - cdn.techscience.cn
With the increasing application of surveillance cameras, vehicle re-identification (Re-ID) has
attracted more attention in the field of public security. Vehicle Re-ID meets challenge …

Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification

X Liu, W Liu, J Zheng, C Yan, T Mei - Proceedings of the 28th ACM …, 2020 - dl.acm.org
Vehicle re-identification (Re-Id) is a challenging task due to the inter-class similarity, the intra-
class difference, and the cross-view misalignment of vehicle parts. Although recent methods …

Vr-proud: Vehicle re-identification using progressive unsupervised deep architecture

RMS Bashir, M Shahzad, MM Fraz - Pattern Recognition, 2019 - Elsevier
Vehicle re-identification (Re-ID) is one of the primary components of an automated visual
surveillance system. It aims to automatically identify/search vehicles in a multi-camera …

Multi-view spatial attention embedding for vehicle re-identification

S Teng, S Zhang, Q Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicle Re-Identification (Re-ID) is a challenging vision task mainly because the
appearance of a vehicle varies dramatically under different viewpoints. Moreover, different …