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Siamese Neural Networks: An Overview
2020Similarity has always been a key aspect in computer science and statistics. Any time two element vectors are compared, many different similarity approaches can be used, depending on the final goal of the comparison (Euclidean distance, Pearson correlation coefficient, Spearman's rank correlation coefficient, and others). But if the comparison has to be
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Face Recognition Using Siamese Network
2020Face recognition has become very popular in biometrics in recent time, especially after the availability of GPU-based processing technology and ease of implementing deep learning methodologies. Still, it is treated as computationally expensive when the training database is large and efficiency is in stake when little data is available for training. One
Srinibas Rana, Dakshina Ranjan Kisku
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Palmprint Recognition Using Siamese Network
2018Recently, palmprint representation using different descriptors under the incorporation of deep neural networks, always achieves significant recognition performance. In this paper, we proposed a novel method to achieve end-to-end palmprint recognition by using Siamese network.
Dexing Zhong, Yuan Yang, Xuefeng Du
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Attributed Network Embedding via a Siamese Neural Network
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019Recently, network embedding has attracted a surge of attention due to its ability to automatically extract features from graph-structured data. Though network embedding method has been intensively studied, most of the existing approaches pay attention to either structures or attributes.
Jiong Wang +3 more
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Predicting Cherry Quality Using Siamese Networks
2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2020The cherry industry is a rapidly growing sector of New Zealand’s export merchandise and, as such, the accuracy with which pack-houses can grade cherries during processing is becoming increasingly critical. Conventional computer vision systems are usually employed in this process, yet they fall short in many respects, still requiring humans to manually ...
Yerren van Sint Annaland +2 more
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Word Spotting Using Convolutional Siamese Network
2018 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018We present a method for word spotting using convolutional siamese network. A convolutional siamese network employs two identical convolutional network to rank similarity between two input word images. Once the network is trained, it can then be used to spot not just words with varying writing styles and backgrounds but also to spot out of vocabulary ...
Berat Kurar Barakat +2 more
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Snake Image Classification using Siamese Networks
Proceedings of the 2019 3rd International Conference on Graphics and Signal Processing, 2019Research into deep learning models suitable for small data sets is still in an immature state since it has received less attention from the machine learning community. Identifying a snake species using images, is a classification problem which has a number of medical, educational and safety-related importance but no large data set.
Chamath Abeysinghe +2 more
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Feature Distillation Siamese Networks for Object Tracking
SSRN Electronic Journal, 2022Hanlin Huang +3 more
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Siamese networks for surveillance and security
2022This thesis investigates the usage of Siamese networks across three surveillance and security tasks for land border security. Siamese networks (also known as a twin-pair network) are a layout of neural networks that contain a segment that contains duplicated architecture and con figuration parameters for feature extraction of two inputs, combining the ...
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