Results 221 to 230 of about 26,674 (270)

Prediction of liquid-phase separation proteins using Siamese network with feature fusion. [PDF]

Brief Bioinform
Yang YH, Liu Q, Liu JF, Yang JT.
europepmc   +1 more source

Recent Advances in Deep Learning-Based Source Camera Identification and Device Linking. [PDF]

Sensors (Basel)
Li Z, Law NF.
europepmc   +1 more source

Predicting prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure from longitudinal ultrasound images using a multi-task deep learning approach. [PDF]

Ann Med
Huang X, Yuan S, Zhou A, Yuan X, Li Y, Kuang Y, Xu P.   +6 more
europepmc   +1 more source

Plagiarism detection across languages: a comprehensive study of Arabic and English-to-Arabic long documents. [PDF]

PeerJ Comput Sci
Abdelaal A, Elsaadany A, Medhat AA, Al Shamsi A, ElDin Saad Ali NG.   +4 more
europepmc   +1 more source

AI lesion tracking in PET/CT imaging: a proposal for a Siamese-based CNN pipeline applied to PSMA PET/CT scans. [PDF]

Eur J Nucl Med Mol Imaging
Hein SP, Schultheiss M, Gafita A, Zaum R, Yagubbayli F, Tauber R, Rauscher I, Eiber M, Pfeiffer F, Weber WA.   +9 more
europepmc   +1 more source

Siamese Networks for Enhanced Re-ID

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Siamese-rPPG network

Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020
Remote photoplethysmography (rPPG) is a contactless method for heart rate (HR) estimation from face videos. In this paper, we propose to estimate rPPG signals directly from input video sequences in an end-to-end manner. We propose a novel Siamese-rPPG network to simultaneously learn the heterogeneous and homogeneous features from two facial regions ...
Yun-Yun Tsou, Yi-An Lee, Chiou-Ting Hsu, Shang-Hung Chang   +3 more
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Fully-Convolutional Siamese Networks for Object Tracking [PDF]

Lecture Notes in Computer Science, 2016
The first two authors contributed equally, and are listed in alphabetical order.
Bertinetto, Luca, Valmadre, Jack, Henriques, João F., Vedaldi, Andrea, Torr, Philip H. S.   +4 more
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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
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