Results 11 to 20 of about 21,033 (209)
Компьютерная оптика, 2023 The article analyzes the possibility of using a Siamese convolutional neural network to solve the problem of vascular authentication on an embedded hardware platform with limited computing resources (Orange Pi One).
D.E. Prozorov, A.V. Zemtsov
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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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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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Cow Face Recognition for a Small Sample Based on Siamese DB Capsule Network
IEEE Access, 2022 Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences between individuals are
Feng Xu, Jing Gao, Xin Pan
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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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KD-Fixmatch: Knowledge Distillation Siamese Neural Networks
2023 IEEE International Conference on Image Processing (ICIP), 2023 Semi-supervised learning (SSL) has become a crucial approach in deep learning as a way to address the challenge of limited labeled data. The success of deep neural networks heavily relies on the availability of large-scale high-quality labeled data. However, the process of data labeling is time-consuming and unscalable, leading to shortages in labeled ...
Wang, Chien-Chih +4 more
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Face Recognition Method Based on Siamese Networks Under Non-Restricted Conditions
IEEE Access, 2022 Face recognition is an important part of computer vision, and has a vital role to play in public safety. Because of the problems of low accuracy and low efficiency in the case of uneven image quality and occlusion due to sudden changes in light in face ...
Cunli Song, Shouyong Ji
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Analysing Siamese Neural Network Architectures for Computing Name Similarity.
International Journal of Population Data Science, 2022 Introduction A wide assortment of string similarity measures can be used to determine how similar two names are. A diverse set of discriminating and independent features for name similarity are important for classification during record linkage.
Nicholas Vinden +2 more
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Remote Sensing, 2022 In the context of carbon neutrality, forest cover change detection has become a key topic of global environmental monitoring. As a large-scale monitoring technique, remote sensing has received obvious attention in various land cover observation ...
Yantao Guo +7 more
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A Cross-Domain Change Detection Network Based on Instance Normalization
Remote Sensing, 2023 Change detection is a crucial task in remote sensing that finds broad application in land resource planning, forest resource monitoring, natural disaster monitoring, and evaluation.
Yabin Song +5 more
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