Results 41 to 50 of about 27,149 (269)
Target tracking method of Siamese networks based on the broad learning system
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
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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
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Siamese Dense Neural Network for Software Defect Prediction With Small Data
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
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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
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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
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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 ...
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Re-Identification With Consistent Attentive Siamese Networks [PDF]
10 pages, 8 figures, 3 tables, to appear in CVPR ...
Meng Zheng 0002 +3 more
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Siamese tracking network with multi-attention mechanism
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
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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
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Fast and Accurate Visual Tracking with Group Convolution and Pixel-Level Correlation
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
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