Results 1 to 10 of about 26,753 (155)

Siamese Networks-Based People Tracking Using Template Update for 360-Degree Videos Using EAC Format [PDF]

open access: yesSensors, 2021
Rich information is provided by 360-degree videos. However, non-uniform geometric deformation caused by sphere-to-plane projection significantly decreases tracking accuracy of existing trackers, and the huge amount of data makes it difficult to achieve ...
Kuan-Chen Tai, Chih-Wei Tang
doaj   +2 more sources

Siamese Networks for Clinically Relevant Bacteria Classification Based on Raman Spectroscopy [PDF]

open access: yesMolecules
Identifying bacterial strains is essential in microbiology for various practical applications, such as disease diagnosis and quality monitoring of food and water.
Jhonatan Contreras   +3 more
doaj   +2 more sources

Online Siamese Network for Visual Object Tracking [PDF]

open access: yesSensors, 2019
Offline-trained Siamese networks are not robust to the environmental complication in visual object tracking. Without online learning, the Siamese network cannot learn from instance domain knowledge and adapt to appearance changes of targets.
Shuo Chang   +3 more
doaj   +3 more sources

Integrating Egocentric and Robotic Vision for Object Identification Using Siamese Networks and Superquadric Estimations in Partial Occlusion Scenarios [PDF]

open access: yesBiomimetics
This paper introduces a novel method that enables robots to identify objects based on user gaze, tracked via eye-tracking glasses. This is achieved without prior knowledge of the objects’ categories or their locations and without external markers.
Elisabeth Menendez   +3 more
doaj   +2 more sources

MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Siamese networks are widely used for remote sensing change detection tasks. A vanilla siamese network has two identical feature extraction branches which share weights, these two branches work independently and the feature maps are not fused until about ...
H. Zhou   +6 more
doaj   +1 more source

SiamOT: An Improved Siamese Network with Online Training for Visual Tracking

open access: yesSensors, 2022
As a prevailing solution for visual tracking, Siamese networks manifest high performance via convolution neural networks and weight-sharing schemes.
Xiaomei Gong, Yuxin Zhou, Yi Zhang
doaj   +1 more source

Inverted Residual Siamese Visual Tracking With Feature Crossing Network

open access: yesIEEE Access, 2021
Siamese networks based visual tracking has recently drawn great attention due to their superior representation and tracking accuracy. However, the backbone networks and prediction networks still cannot fully take advantage of features from modern deep ...
Feng Zhang   +3 more
doaj   +1 more source

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

Class-balanced siamese neural networks [PDF]

open access: yesNeurocomputing, 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
openaire   +2 more sources

Improvement of One-Shot-Learning by Integrating a Convolutional Neural Network and an Image Descriptor into a Siamese Neural Network

open access: yesApplied Sciences, 2021
Over the last few years, several techniques have been developed with the aim of implementing one-shot learning, a concept that allows classifying images with only a single image per training category. Conceptually, these methods seek to reproduce certain
Jaime Duque Domingo   +2 more
doaj   +1 more source

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