Local perspective based synthesis for vehicle re-identification: A transformation state adversarial method
Vehicle re-identification (V-ReID) aims at discovering an image of a specific vehicle from a
set of images typically captured by different cameras. Vehicles are one of the most important …
set of images typically captured by different cameras. Vehicles are one of the most important …
Navigating diverse salient features for vehicle re-identification
W Qian, Z He, C Chen, S Peng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mining sufficient discriminative information is vital for effective feature representation in
vehicle re-identification. Traditional methods mainly focus on the most salient features and …
vehicle re-identification. Traditional methods mainly focus on the most salient features and …
Vehicle re-identification by separating representative spatial features
As a complex image classification problem, re-identification (ReID) requires the model to
capture diverse representative features of vehicles through different spatial orientation …
capture diverse representative features of vehicles through different spatial orientation …
A two-stream siamese neural network for vehicle re-identification by using non-overlapping cameras
IO de Oliveira, KVO Fonseca… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
We describe in this paper a Two-Stream Siamese Neural Network for vehicle re-
identification. The proposed network is fed simultaneously with small coarse patches of the …
identification. The proposed network is fed simultaneously with small coarse patches of the …
A two‐branch network with pyramid‐based local and spatial attention global feature learning for vehicle re‐identification
J Yang, D Xing, Z Hu, T Yao - CAAI Transactions on Intelligence …, 2021 - Wiley Online Library
In recent years, vehicle re‐identification has attracted more and more attention. How to learn
the discriminative information from multi‐view vehicle images becomes one of the …
the discriminative information from multi‐view vehicle images becomes one of the …
A survey of intelligent techniques for Android malware detection
R Kumars, M Alazab, WY Wang - Malware Analysis Using Artificial …, 2021 - Springer
The revolution of smart devices such as smartphones, smart washing machines, smart cars
is increasing every year, as these devices are provided connected with the network and …
is increasing every year, as these devices are provided connected with the network and …
[HTML][HTML] 融合全局与空间多尺度上下文信息的车辆重识别
王振学， 许喆铭， 雪洋洋， 郎丛妍， 李尊， 魏莉莉 - 2023 - cjig.cn
目的车辆重识别指判断不同摄像设备拍摄的车辆图像是否属于同一辆车的检索问题.
现有车辆重识别算法使用车辆的全局特征或额外的标注信息, 忽略了对多尺度上下文信息的有效 …
现有车辆重识别算法使用车辆的全局特征或额外的标注信息, 忽略了对多尺度上下文信息的有效 …
Collaborative representation based cross-domain semantic transfer for vehicle re-identification
Y Li, F Yang, Y Tian, X Wang, Q Chen, P Jing - Neurocomputing, 2024 - Elsevier
Vehicle re-identification (re-ID) has received increasing attention due to its tremendous
potential in practical intelligent transportation scenarios. The main difficulties of vehicle re-ID …
potential in practical intelligent transportation scenarios. The main difficulties of vehicle re-ID …
A fully convolutional encoder–decoder spatial–temporal network for real-time background subtraction
M Qiu, X Li - IEEE Access, 2019 - ieeexplore.ieee.org
Background subtraction is described as the task of distinguishing pixels into moving objects
and the background in a frame. In this paper, we propose a fully convolutional encoder …
and the background in a frame. In this paper, we propose a fully convolutional encoder …
Multi-scale vehicle re-identification using self-adapting label smoothing regularization
Vehicle re-identification (re-id) plays an important role in intelligent surveillance. Since
difference vehicle models may have similar appearances, together with the problem of …
difference vehicle models may have similar appearances, together with the problem of …