Results 41 to 50 of about 4,140 (257)
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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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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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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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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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
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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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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FACE RECOGNITION WITH SIAMESE NEURAL NETWORKS
The development of face recognition technologies has become increasingly critical due to the growing need for effective identification methods. Traditional techniques often struggle with variations in illumination, pose, and facial expressions, limiting
Bolatzhan Kumalakov +1 more
doaj +1 more source
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
openaire +1 more source
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

