Results 11 to 20 of about 20,816 (168)
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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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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ASNet: Auto-Augmented Siamese Neural Network for Action Recognition. [PDF]
Sensors (Basel), 2021 Human action recognition methods in videos based on deep convolutional neural networks usually use random cropping or its variants for data augmentation. However, this traditional data augmentation approach may generate many non-informative samples (video patches covering only a small part of the foreground or only the background) that are not related ...
Zhang Y +4 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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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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