Results 11 to 20 of about 29,223 (229)
Triplet Network Template for Siamese Trackers [PDF]
IEEE Access, 2021 Siamese network based trackers describe object tracking as a similarity matching problem and these trackers achieve state-of-the-art performance on multiple benchmarks. However, due to the non-update of the appearance template and the change of the object appearance, the tracking drift problem often occurs, especially in the background clutter scene ...
Tao Shi, Donghui Wang, Hongge Ren
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An Explanation Method for Siamese Neural Networks [PDF]
, 2021 International Scientific Conference Telecommunications, Computing and Control (TELECCON-2019)
Lev V. Utkin +2 more
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Rotation Equivariant Siamese Networks for Tracking [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Rotation is among the long prevailing, yet still unresolved, hard challenges encountered in visual object tracking. The existing deep learning-based tracking algorithms use regular CNNs that are inherently translation equivariant, but not designed to tackle rotations.
Gupta, D.K., Arya, D., Gavves, E.
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Siamese neural networks in recommendation
Neural Computing and Applications, 2023 AbstractRecommender systems are widely adopted as an increasing research and development area, since they provide users with diverse and useful information tailored to their needs. Several strategies have been proposed, and in most of them some concept of similarity is used as a core part of the approach, either between items or between users.
Nicolás Serrano, Alejandro Bellogín
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Class-balanced siamese neural networks [PDF]
Neurocomputing, 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
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Person Re-Identification by Siamese Network
Inteligencia Artificial, 2023 Re-Identification of person aims at retrieval of person across multiple non overlapping camera. There was a huge gain in the computer vision community with the advancement of deep learning features and also the number of surveillance in videos increased. The challenges faced by person re-identification is low resolution images, pose variation etc., and
Newlin Shebiah Russel +3 more
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Siamese networks for large-scale author identification [PDF]
Computer Speech & Language, 2021 28 pages.
Chakaveh Saedi, Mark Dras
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Компьютерная оптика, 2023 The article analyzes the possibility of using a Siamese convolutional neural network to solve the problem of vascular authentication on an embedded hardware platform with limited computing resources (Orange Pi One).
D.E. Prozorov, A.V. Zemtsov
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PLoS ONE, 2022 Oracle bone inscriptions (OBIs) are ancient Chinese scripts originated in the Shang Dynasty of China, and now less than half of the existing OBIs are well deciphered.
Mengru Wang +6 more
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Realizing Video Analytic Service in the Fog-Based Infrastructure-Less Environments [PDF]
, 2020 Deep learning has unleashed the great potential in many fields and now is the most significant facilitator for video analytics owing to its capability to providing more intelligent services in a complex scenario. Meanwhile, the emergence of fog computing
Gao, Longxiang +4 more
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