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Deep metric learning for few-shot image classification: A review of recent developments
Few-shot image classification is a challenging problem that aims to achieve the human level
of recognition based only on a small number of training images. One main solution to few …
of recognition based only on a small number of training images. One main solution to few …
Deep learning algorithms for person re-identification: Sate-of-the-art and research challenges
Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …
times. Due to its vital role in security based applications, person re-identification lies at the …
A hybrid multilinear-linear subspace learning approach for enhanced person re-identification in camera networks
Several tasks in surveillance systems depend on camera networks, one of them is Person re-
identification (PRe-ID) which has wide interest as a research topic in the computer vision …
identification (PRe-ID) which has wide interest as a research topic in the computer vision …
Information complementary attention-based multidimension feature learning for person re-identification
M Wang, H Ma, Y Huang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
With the need for criminal investigation technology and the development of deep learning,
the task of person re-identification has gradually become a research hotspot. Recently …
the task of person re-identification has gradually become a research hotspot. Recently …
Channel exchange and adversarial learning guided cross-modal person re-identification
X Xu, S Liu, N Zhang, G ** cameras. It is considered an essential step for person tracking applications …
Few-shot person re-identification based on feature set augmentation and metric fusion
G Chen, G Zou, Y Liu, X Zhang, G Fu - Engineering Applications of Artificial …, 2023 - Elsevier
Person re-identification identifies pedestrians by analyzing image information from
surveillance videos. However, it faces challenges like occlusion, changing lighting, and …
surveillance videos. However, it faces challenges like occlusion, changing lighting, and …
Filter pruning based on evolutionary algorithms for person re-identification
Filter pruning has drawn much attention for releasing the limitations of person re-
identification (ReID) in resource-constrained platforms due to the large parameters and high …
identification (ReID) in resource-constrained platforms due to the large parameters and high …
Adversarial learning-based skeleton synthesis with spatial-channel attention for robust gait recognition
Person re-identification (ReID) aims to identify the same person across multiple cameras.
Gait recognition is the person ReID using human gait to identify a walking person, which is …
Gait recognition is the person ReID using human gait to identify a walking person, which is …