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An adaptive interference removal framework for video person re-identification
H Tao, Q Duan, J An - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Video person re-identification (V-ReID) can leverage rich spatial-temporal information
embedded in sequence data to achieve better accuracy. However, it is vulnerable to the …
embedded in sequence data to achieve better accuracy. However, it is vulnerable to the …
MART: Mask-aware reasoning transformer for vehicle re-identification
As a significant topic in Intelligent Transportation Systems (ITS), vehicle Re-Identification (Re-
ID) has attracted increasing research attention. However, the variation of shooting scenes …
ID) has attracted increasing research attention. However, the variation of shooting scenes …
Semantic-oriented feature coupling transformer for vehicle re-identification in intelligent transportation system
More robust intelligent transportation systems including autonomous driving systems are in
full flourish with the revolution of deep learning and the 6G wireless communication network …
full flourish with the revolution of deep learning and the 6G wireless communication network …
Glalt: Global-local attention-augmented light transformer for scene text recognition
Recent years have witnessed the growing popularity of connectionist temporal classification
(CTC) and attention mechanism in scene text recognition (STR). CTC-based methods …
(CTC) and attention mechanism in scene text recognition (STR). CTC-based methods …
Global reference attention network for vehicle re-identification
G Jiang, X Pang, X Tian, Y Zheng, Q Meng - Applied Intelligence, 2023 - Springer
Vehicle re-identification (Re-ID) aims to find the image of the same vehicle in different
cameras. One of the reasons that this task remains challenging is that different vehicles of …
cameras. One of the reasons that this task remains challenging is that different vehicles of …
A rough set framework for multihuman tracking in surveillance video
TJ Vennila, V Balamurugan - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
MultiHuman Tracking (MHT) has become a key focus area in video surveillance
applications. Several research works have been carried out in MHT in the past two decades …
applications. Several research works have been carried out in MHT in the past two decades …
A novel dual-pooling attention module for UAV vehicle re-identification
X Guo, J Yang, X Jia, C Zang, Y Xu, Z Chen - Scientific Reports, 2024 - nature.com
Vehicle re-identification (Re-ID) involves identifying the same vehicle captured by other
cameras, given a vehicle image. It plays a crucial role in the development of safe cities and …
cameras, given a vehicle image. It plays a crucial role in the development of safe cities and …
Multi-axis interactive multidimensional attention network for vehicle re-identification
X Pang, Y Zheng, X Nie, Y Yin, X Li - Image and Vision Computing, 2024 - Elsevier
Learning fine-grained discriminative information is essential to address the challenges of
small inter-class differences and large intra-class differences in vehicle re-identification (Re …
small inter-class differences and large intra-class differences in vehicle re-identification (Re …
[HTML][HTML] Intelligent video surveillance systems for vehicle identification based on multinet architecture
Security cameras have been proven to be particularly useful in preventing and combating
crime through identification tasks. Here, two areas can be mainly distinguished: person and …
crime through identification tasks. Here, two areas can be mainly distinguished: person and …
Global relational attention with a maximum suppression constraint for vehicle re-identification
X Pang, Y Yin, X Tian - International Journal of Machine Learning and …, 2024 - Springer
The goal of vehicle re-identification is to identify the same vehicle from multiple cameras,
which is a challenging task. There are many solutions to this problem, among which the self …
which is a challenging task. There are many solutions to this problem, among which the self …