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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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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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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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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Deep learning (DL) exhibits commendable performance in hyperspectral image (HSI) classification because of its powerful feature expression ability. Siamese neural network further improves the performance of DL models by learning similarities within-class
Zhaohui Xue +3 more
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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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Al-Quran recitation verification for memorization test using Siamese LSTM network
Communications in Science and Technology, 2021 In the process of verifying Al-Quran memorization, a person is usually asked to recite a verse without looking at the text. This process is generally done together with a partner to verify the reading.
Rian Adam Rajagede, Rochana Prih Hastuti
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Materials & Design, 2023 Fast and accurate analysis of orientations and deformation states from Kikuchi patterns is vital to understand the crystalline materials’ micro- and macro-mechanical behavior.
Qi Lu +5 more
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Adaptive Selective Tracking System Based on Twofold Siamese Network [PDF]
Jisuanji gongcheng, 2020 Siamese network is widely used in the field of target tracking because of its significant advantage in high speed and accuracy.The twin network is composed of two independent branches:semantic branch and appearance branch.Each branch is a twin network ...
ZHANG Tengfei, ZHOU Shuren, PENG Jian
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SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
Sensors, 2020 Recent advances in object tracking based on deep Siamese networks shifted the attention away from correlation filters. However, the Siamese network alone does not have as high accuracy as state-of-the-art correlation filter-based trackers, whereas ...
Thierry Ntwari +3 more
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