Results 241 to 250 of about 32,689 (273)

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), 2019
Recently, 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, Neng Gao, Jia Peng, Jingjie Mo   +3 more
openaire   +1 more source

Predicting Cherry Quality Using Siamese Networks

2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2020
The 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, Lech Szymanski, Steven Mills   +2 more
openaire   +1 more source

Word Spotting Using Convolutional Siamese Network

2018 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018
We 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, Reem Alasam, Jihad El-Sana   +2 more
openaire   +1 more source

Snake Image Classification using Siamese Networks

Proceedings of the 2019 3rd International Conference on Graphics and Signal Processing, 2019
Research 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, Anuradha Welivita, Indika Perera   +2 more
openaire   +1 more source

Feature Distillation Siamese Networks for Object Tracking

SSRN Electronic Journal, 2022
Hanlin Huang, Guixi Liu, Yi Zhang, Ruke Xiong   +3 more
openaire   +1 more source

Conditional Siamese Convolutional Network

2023
Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri   +3 more
openaire   +1 more source

Siamese networks for surveillance and security

2022
This 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 ...
openaire   +1 more source

Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery

ISPRS Journal of Photogrammetry and Remote Sensing, 2022
Sunan Shi, Qingfeng Guan, Yanfei Zhong
exaly  

Cat face recognition using Siamese network

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022
Haohuan Li, Wenqing Zhang
openaire   +1 more source

SiamCDA: Complementarity- and Distractor-Aware RGB-T Tracking Based on Siamese Network

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Tianlu Zhang, Xueru liu, Qiang Zhang
exaly