Results 121 to 130 of about 20,816 (168)

Pairwise Diverse and Uncertain Gradient-Sampling for Similarity Retrieval. [PDF]

Sensors (Basel)
Löffler C.
europepmc   +1 more source

Climbing the ladder: a ranking approach to burnout prediction. [PDF]

Front Digit Health
Dei Rossi A, Marzorati D, Švihrová R, Grossenbacher J, Kochergin V, Grossenbacher M, Faraci F.   +6 more
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Siamese-based metric joint learning for intent detection and slot filling using triplet loss optimization. [PDF]

Sci Rep
Muhammad YI, Salim N, Zainal A, Nasser M, Hashim AS, Huspi SH, Bena YA.   +6 more
europepmc   +1 more source

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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
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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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Matching Ontologies Through Siamese Neural Network

2021
Ontology, the kernel technique of Semantic Web (SW), formally names the domain concepts and their relationships. However, as the ontologies are created and developed by different domain experts and communities, a concept may be named in various ways, bringing about the concept heterogeneity problem. To solve the problem, in this paper, a Siamese Neural
Xingsi Xue, Chao Jiang, Hai Zhu
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Face Recognition via Convolutional Neural Networks and Siamese Neural Networks

2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS), 2019
Deep convolutional neural networks is playing very important role to solve computer vision task in these decades. In this research has shown implementation state of art face recognition methods and compared them. Advantages and disadvantages of Convolutional and Siamese neural networks is explored for the face recognition task.
Wanxin Cui, Wei Zhan, Jingjing Yu, Chenfan Sun, Yangyang Zhang   +4 more
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Edge-aware filtering with Siamese neural networks

The Leading Edge, 2020
Recent demands to reduce turnaround times and expedite investment decisions in seismic exploration have invited new ways to process and interpret seismic data. Among these ways is a more integrated collaboration between seismic processors and geologist interpreters aiming to build preliminary geologic models for early business impact. A key aspect has
Mehdi Aharchaou, Michael Matheney, Joe Molyneux, Erik Neumann   +3 more
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