YOLOv7-RAR for urban vehicle detection

Y Zhang, Y Sun, Z Wang, Y Jiang - Sensors, 2023 - mdpi.com
Aiming at the problems of high missed detection rates of the YOLOv7 algorithm for vehicle
detection on urban roads, weak perception of small targets in perspective, and insufficient …

Trends in vehicle re-identification past, present, and future: A comprehensive review

Zakria, J Deng, Y Hao, MS Khokhar, R Kumar, J Cai… - Mathematics, 2021 - mdpi.com
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …

A survey on siamese network: Methodologies, applications, and opportunities

Y Li, CLP Chen, T Zhang - IEEE Transactions on artificial …, 2022 - ieeexplore.ieee.org
Siamese network has obtained growing attention in real-life applications. In this survey, we
present an comprehensive review on Siamese network from the aspects of methodologies …

[HTML][HTML] Multi-target association for uavs based on triangular topological sequence

X Li, L Wu, Y Niu, A Ma - Drones, 2022 - mdpi.com
Multi-UAV cooperative systems are highly regarded in the field of cooperative multi-target
localization and tracking due to their advantages of wide coverage and multi-dimensional …

Dual-stream siamese network for vehicle re-identification via dilated convolutional layers

N Dilshad, JS Song - … Conference on Smart Internet of Things …, 2021 - ieeexplore.ieee.org
Vehicle re-identification (V-ReID) is one of the major technologies of intelligent
transportation and traffic management systems, which is an important aspect of the …

Vehicle-Rear: A new dataset to explore feature fusion for vehicle identification using convolutional neural networks

IO De Oliveira, R Laroca, D Menotti… - IEEE …, 2021 - ieeexplore.ieee.org
This work addresses the problem of vehicle identification through non-overlapping cameras.
As our main contribution, we introduce a novel dataset for vehicle identification, called …

Few-shot learning for tamil handwritten character recognition using deep siamese convolutional neural network

N Shaffi, F Hajamohideen - International Conference on Applied …, 2021 - Springer
Abstract Optical Character Recognition (OCR) is at the forefront of numerous applications
such as digitalization of legal and legacy documents, automatic form processing, writer …

OMNet: Object-Perception Multi-Branch Network for Pedestrian Re-Identification

F Hong, C Lu, W Tao, W Jiang - Big Data Research, 2022 - Elsevier
In this paper, we propose a multi-branch model of spatial global attention mechanism to
perform the task of pedestrian recognition. The main research direction of the previous …

Image-Pair Correlation Learning for Vehicle Re-Identification

C Liu, W Lin, Y Lu, H Li, X Wang - 2023 42nd Chinese Control …, 2023 - ieeexplore.ieee.org
Vehicle re-identification plays an important role in intelligent transportation systems. It aims
to identify vehicles with the same identity between images captured by different cameras …

[PDF][PDF] Vehicle re-identification: exploring feature fusion using multi-stream convolutional networks

IO Oliveira, R Laroca, D Menotti, KVO Fonseca… - arXiv preprint arXiv …, 2019 - inf.ufpr.br
This work addresses the problem of vehicle reidentification through a network of non-
overlapping cameras. As our main contribution, we propose a novel twostream …