Results 21 to 30 of about 4,140 (257)

Siamese networks for large-scale author identification [PDF]

open access: yesComputer Speech & Language, 2021
28 pages.
Chakaveh Saedi, Mark Dras
openaire   +2 more sources

Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification

open access: yesJournal of Cheminformatics, 2023
Siamese networks, representing a novel class of neural networks, consist of two identical subnetworks sharing weights but receiving different inputs. Here we present a similarity-based pairing method for generating compound pairs to train Siamese neural ...
Yumeng Zhang   +6 more
doaj   +1 more source

Furniture Style Compatibility Estimation by Multi-Branch Deep Siamese Network

open access: yesMathematical and Computational Applications, 2022
As demands for understanding visual style among interior scenes increase, estimating style compatibility is becoming challenging. In particular, furniture styles are difficult to define due to their various elements, such as color and shape. As a result,
Ayumu Taisho   +4 more
doaj   +1 more source

Siamese network features for image matching [PDF]

open access: yes2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Finding matching images across large datasets plays a key role in many computer vision applications such as structure-from-motion (SfM), multi-view 3D reconstruction, image retrieval, and image-based localisation. In this paper, we propose finding matching and non-matching pairs of images by representing them with neural network based feature vectors ...
Kannala, Juho   +3 more
openaire   +4 more sources

Distilled Siamese Networks for Visual Tracking

open access: yesIEEE 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
openaire   +4 more sources

Siamese neural network architecture for homoglyph attacks detection

open access: yesICT 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.
doaj   +1 more source

Energy-Efficient and High-Performance Ship Classification Strategy Based on Siamese Spiking Neural Network in Dual-Polarized SAR Images

open access: yesRemote Sensing, 2023
Ship classification using the synthetic aperture radar (SAR) images has a significant role in remote sensing applications. Aiming at the problems of excessive model parameters numbers and high energy consumption in the traditional deep learning methods ...
Xinqiao Jiang   +3 more
doaj   +1 more source

A Siamese Network-Based Method for Improving the Performance of Sleep Staging with Single-Channel EEG

open access: yesBiomedicines, 2023
Sleep staging is of critical significance to the diagnosis of sleep disorders, and the electroencephalogram (EEG), which is used for monitoring brain activity, is commonly employed in sleep staging.
Yuyang You   +3 more
doaj   +1 more source

DASTSiam: Spatio‐temporal fusion and discriminative enhancement for Siamese visual tracking

open access: yesIET Computer Vision, 2023
The use of deep neural networks has revolutionised object tracking tasks, and Siamese trackers have emerged as a prominent technique for this purpose.
Yucheng Huang   +6 more
doaj   +1 more source

A strong feature representation for siamese network tracker [PDF]

open access: yesMultimedia Tools and Applications, 2020
Object tracking has important application in assistive technologies for personalized monitoring. Recent trackers choosing AlexNet as their backbone to extract features have gained great success. However, AlexNet is too shallow to form a strong feature representation, the tracker based on the Siamese network have an accuracy gap compared with state-of ...
Zhipeng Zhou, Rui Zhang, Dong Yin
openaire   +2 more sources

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