Results 41 to 50 of about 27,149 (269)

Target tracking method of Siamese networks based on the broad learning system

open access: yesCAAI Transactions on Intelligence Technology, 2023
Target tracking has a wide range of applications in intelligent transportation, real‐time monitoring, human‐computer interaction and other aspects. However, in the tracking process, the target is prone to deformation, occlusion, loss, scale variation ...
Dan Zhang   +4 more
doaj   +1 more source

SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network

open access: yesIEEE Access, 2020
This paper proposes a novel siamese cross contrast neural network (SCCNN) to classify the hepatocellular carcinoma (HCC) and the intrahepatic cholangiocarcinoma (ICC) on computed tomography (CT) images.
Qiyuan Wang   +8 more
doaj   +1 more source

Siamese Dense Neural Network for Software Defect Prediction With Small Data

open access: yesIEEE Access, 2019
Software defect prediction (SDP) exerts a major role in software development, concerning reducing software costs and ensuring software quality. However, developing an accurate SDP model is still a severe and challenging task with the lack of training ...
Linchang Zhao   +4 more
doaj   +1 more source

Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms

open access: yesMathematics, 2022
Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions is critical.
Joseph Baquerizo   +4 more
doaj   +1 more source

SVTN: Siamese Visual Tracking Networks With Spatially Constrained Correlation Filter and Saliency Prior Context Model

open access: yesIEEE Access, 2019
Recently, Siamese network based trackers have been greatly developed and achieved state-of-the-art performance on multiple benchmarks. However, the decision-making mechanism needs to be studied more deeply in order to obtain higher accuracy.
Bo Huang   +4 more
doaj   +1 more source

Siamese Capsule Networks

open access: yesCoRR, 2018
Capsule Networks have shown encouraging results on \textit{defacto} benchmark computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are yet to be tested on tasks where (1) the entities detected inherently have more complex internal representations and (2) there are very few instances per class to learn from and (3) where point ...
openaire   +2 more sources

Re-Identification With Consistent Attentive Siamese Networks [PDF]

open access: yes2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
10 pages, 8 figures, 3 tables, to appear in CVPR ...
Meng Zheng 0002   +3 more
openaire   +2 more sources

Siamese tracking network with multi-attention mechanism

open access: yesNeural Processing Letters, 2023
Abstract Object trackers based on Siamese networks view tracking as a similarity-matching process. However, the correlation operation operates as a local linear matching process, limiting the tracker's ability to capture the intricate nonlinear relationship between the template and search region branches.
Yuzhuo Xu   +4 more
openaire   +1 more source

A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images

open access: yesFrontiers in Endocrinology
ObjectiveTo develop and validate an artificial intelligence diagnostic model based on fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type 2 Diabetes Mellitus (T2DM).MethodsIn total, 1236 patients with T2DM who had ...
AJuan Gong   +4 more
doaj   +1 more source

Fast and Accurate Visual Tracking with Group Convolution and Pixel-Level Correlation

open access: yesApplied Sciences, 2023
Visual object trackers based on Siamese networks perform well in visual object tracking (VOT); however, degradation of the tracking accuracy occurs when the target has fast motion, large-scale changes, and occlusion. In this study, in order to solve this
Liduo Liu   +5 more
doaj   +1 more source

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