Results 11 to 20 of about 26,674 (270)
Online Siamese Network for Visual Object Tracking [PDF]
Sensors, 2019 Offline-trained Siamese networks are not robust to the environmental complication in visual object tracking. Without online learning, the Siamese network cannot learn from instance domain knowledge and adapt to appearance changes of targets.
Shuo Chang +3 more
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Distilled Siamese Networks for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high memory costs, which restrict their applicability to mobile devices with tight memory budgets. To address this issue, we propose a distilled Siamese tracking framework to
Jianbing Shen +5 more
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Class-balanced siamese neural networks [PDF]
Neurocomputing, 2018 Original siamese neural network objective function.Polar sine-based angular reformulation for cosine dissimilarity learning.Application on a multimodal human action dataset.New evaluations of 3 siamese neural networks using input data pairs, triplets and tuples.Projection space analysis and computation complexity.
Berlemont, Samuel +3 more
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SiaN-VO: Siamese Network for Visual Odometry
Sensors, 2023 Despite the significant advancements in drone sensory device reliability, data integrity from these devices remains critical in securing successful flight plans. A notable issue is the vulnerability of GNSS to jamming attacks or signal loss from satellites, potentially leading to incomplete drone flight plans.
Bruno S. Faiçal +2 more
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Siamese networks for large-scale author identification [PDF]
Computer Speech & Language, 2021 28 pages.
Saedi, Chakaveh, Dras, Mark
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Siamese neural networks in recommendation
Neural Computing and Applications, 2023 AbstractRecommender systems are widely adopted as an increasing research and development area, since they provide users with diverse and useful information tailored to their needs. Several strategies have been proposed, and in most of them some concept of similarity is used as a core part of the approach, either between items or between users.
Nicolás Serrano, Alejandro Bellogín
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An Explanation Method for Siamese Neural Networks [PDF]
, 2021 International Scientific Conference Telecommunications, Computing and Control (TELECCON-2019)
Utkin, Lev V. +2 more
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Cost‐Sensitive Siamese Network for PCB Defect Classification [PDF]
Computational Intelligence and Neuroscience, 2021 After the production of printed circuit boards (PCB), PCB manufacturers need to remove defected boards by conducting rigorous testing, while manual inspection is time‐consuming and laborious. Many PCB factories employ automatic optical inspection (AOI), but this pixel‐based comparison method has a high false alarm rate, thus requiring intensive human ...
Yilin Miao +3 more
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Incorporating Siamese Network Structure into Graph Neural Network [PDF]
Journal of Physics: Conference Series, 2022 AbstractSiamese network plays an important role in many artificial intelligence domains, but there requires more exploration of applying Siamese structure to graph neural network. This paper proposes a novel framework that incorporates Siamese network structure into Graph Neural Network (Siam-GNN).
Yinan Zhang, Wenyu Chen
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Siamese neural network architecture for homoglyph attacks detection
ICT Express, 2020 Primarily an adversary uses homoglyph or spoofing attack approach to obfuscate domain name, file name or process names. This approach facilitates to create domain name, file name or process names which look visually homogeneous to legitimate domain name,
Vinayakumar R., Soman K.P.
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