Results 11 to 20 of about 27,149 (269)
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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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
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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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Journal of Cheminformatics, 2023 Siamese networks, representing a novel class of neural networks, consist of two identical subnetworks sharing weights but receiving different inputs. Here we present a similarity-based pairing method for generating compound pairs to train Siamese neural ...
Yumeng Zhang +6 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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Furniture Style Compatibility Estimation by Multi-Branch Deep Siamese Network
Mathematical and Computational Applications, 2022 As demands for understanding visual style among interior scenes increase, estimating style compatibility is becoming challenging. In particular, furniture styles are difficult to define due to their various elements, such as color and shape. As a result,
Ayumu Taisho +4 more
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Siamese neural network architecture for homoglyph attacks detection
ICT Express, 2020 Primarily an adversary uses homoglyph or spoofing attack approach to obfuscate domain name, file name or process names. This approach facilitates to create domain name, file name or process names which look visually homogeneous to legitimate domain name,
Vinayakumar R., Soman K.P.
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