Results 11 to 20 of about 4,140 (257)
Weakly supervised localization model for plant disease based on Siamese networks [PDF]
Frontiers in Plant ScienceChen J, Guo J, Zhang H, Liang Z, Wang S.
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Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes [PDF]
Sensors, 2020 Jaroslaw Kurek +2 more
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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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SiamOT: An Improved Siamese Network with Online Training for Visual Tracking
Sensors, 2022 As a prevailing solution for visual tracking, Siamese networks manifest high performance via convolution neural networks and weight-sharing schemes.
Xiaomei Gong, Yuxin Zhou, Yi Zhang
doaj +1 more source
Inverted Residual Siamese Visual Tracking With Feature Crossing Network
IEEE Access, 2021 Siamese networks based visual tracking has recently drawn great attention due to their superior representation and tracking accuracy. However, the backbone networks and prediction networks still cannot fully take advantage of features from modern deep ...
Feng Zhang +3 more
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Applied Sciences, 2021 Over the last few years, several techniques have been developed with the aim of implementing one-shot learning, a concept that allows classifying images with only a single image per training category. Conceptually, these methods seek to reproduce certain
Jaime Duque Domingo +2 more
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SpeakerNet for Cross-lingual Text-Independent Speaker Verification
Archives of Acoustics, 2020 Biometrics provide an alternative to passwords and pins for authentication. The emergence of machine learning algorithms provides an easy and economical solution to authentication problems.
Hafsa HABIB +4 more
doaj +1 more source
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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