Results 51 to 60 of about 4,017 (161)
Re-Identification With Consistent Attentive Siamese Networks [PDF]
2019 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
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Siamese tracking network with multi-attention mechanism
Neural 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
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FACE RECOGNITION WITH SIAMESE NEURAL NETWORKS
Journal of Problems in Computer Science and Information TechnologiesThe 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
Frontiers in EndocrinologyObjectiveTo 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
Applied 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
SiaN-VO: Siamese Network for Visual Odometry
Sensors, 2023 Despite the significant advancements in drone sensory device reliability, data integrity from these devices remains critical in securing successful flight plans. A notable issue is the vulnerability of GNSS to jamming attacks or signal loss from satellites, potentially leading to incomplete drone flight plans.
Bruno S. Faiçal +2 more
openaire +3 more sources
IEEE Access, 2020 Trackers based on Siamese networks show great potential in tracking accuracy and speed. However, it is still challenging to adapt offline training model to online tracking. In this paper, a Siamese based tracker (SCRPN-CISA) is proposed, which integrates
Zhoujuan Cui +3 more
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Adaptive Siamese Tracking with a Compact Latent Network
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Accepted at ...
Xingping Dong +4 more
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Unsupervised Training of Siamese Networks for Speaker Verification [PDF]
Interspeech 2020, 2020 This work has been developed in the framework of DeepVoice Project (TEC2015-69266-P), funded by Spanish ...
Khan, Umair +1 more
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Online Siamese Network for Visual Object Tracking
Sensors, 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 +1 more source