Results 121 to 130 of about 21,191 (172)

Improved road traffic sign recognition from feature reconstruction. [PDF]

Sci Rep
Huang G, Cao H, Sun J, Chen Z, Zhou Z.
europepmc   +1 more source

Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network. [PDF]

Sci Rep
Alaerjan AS, Mostafa AM, Mahmoud AA, Ezz M.   +3 more
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A multi-modal AI framework integrating Siamese networks and few-shot learning for early fetal health risk assessment. [PDF]

MethodsX
Yenkikar A, Singh VK, Tamboli G, Charkha P, Bodke S, Bidwe RV, Bali M.   +6 more
europepmc   +1 more source

Character-level linguistic biomarkers for precision assessment of cognitive decline: a symbolic recurrence approach. [PDF]

Front Aging Neurosci
Mekulu K, Aqlan F, Yang H.
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A CNN-RNN Siamese framework with multi-level aggregation for video-based person re-identification. [PDF]

Sci Rep
Wang YK, Pan TM, Sun CP.
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Multitarget Tracking Using Siamese Neural Networks

ACM Transactions on Multimedia Computing, Communications, and Applications, 2021
In this article, we detect and track visual objects by using Siamese network or twin neural network. The Siamese network is constructed to classify moving objects based on the associations of object detection network and object tracking network, which are thought of as the two branches of the twin neural network.
Na An, Wei Qi Yan 0001
openaire   +1 more source

Siamese Ballistics Neural Network

2019 IEEE International Conference on Image Processing (ICIP), 2019
Firearm identification is crucial in many investigative scenario. The crime scene often contains traces left by firearms in terms of bullets and cartridges. Traces analysis is a fundamental step in the Forensics Ballistics Analysis Process to identify which firearm fired a specific cartridge.
Giudice O., Guarnera L., Paratore A. B., Farinella G. M., Battiato S.   +4 more
openaire   +1 more source

Knowledge Transfer for Entity Resolution with Siamese Neural Networks

Journal of Data and Information Quality, 2021
The integration of multiple data sources is a common problem in a large variety of applications. Traditionally, handcrafted similarity measures are used to discover, merge, and integrate multiple representations of the same entity—duplicates—into a large homogeneous collection of data.
Loster, Michael (Dr.), Koumarelas, Ioannis (Dr.), Naumann, Felix (Prof. Dr.)   +2 more
openaire   +1 more source