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Siamese Networks: The Tale of Two Manifolds
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Siamese networks are non-linear deep models that have found their ways into a broad set of problems in learning theory, thanks to their embedding capabilities. In this paper, we study Siamese networks from a new perspective and question the validity of their training procedure.
Soumava Kumar Roy +3 more
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Siamese network ensemble for visual tracking
Neurocomputing, 2018Abstract Visual object tracking is a challenging task considering illumination variation, occlusion, rotation, deformation and other problems. In this paper, we extend a Siamese INstance search Tracker (SINT) with model updating mechanism to improve its tracking robustness.
Chenru Jiang +4 more
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Palmprint Recognition Using Siamese Network
2018Recently, palmprint representation using different descriptors under the incorporation of deep neural networks, always achieves significant recognition performance. In this paper, we proposed a novel method to achieve end-to-end palmprint recognition by using Siamese network.
Dexing Zhong, Yuan Yang, Xuefeng Du
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Siamese-ResNet: Implementing Loop Closure Detection based on Siamese Network
2018 IEEE Intelligent Vehicles Symposium (IV), 2018Deep learning has made significant breakthroughs in the tasks of image classification, detection, segmentation, etc. However, the application of deep learning in robotics is still scarce. SLAM is a fundamental problem in robotics and loop closure detection is an important part of SLAM. This paper attempts to use supervised learning methods to solve the
Kai Qiu +4 more
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Attributed Network Embedding via a Siamese Neural Network
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019Recently, network embedding has attracted a surge of attention due to its ability to automatically extract features from graph-structured data. Though network embedding method has been intensively studied, most of the existing approaches pay attention to either structures or attributes.
Jiong Wang +3 more
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Siamese Network Representation for Active Learning
2023 IEEE International Conference on Image Processing (ICIP), 2023Jianing Li, Yuan Du, Li Du
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Siamese networks for surveillance and security
2022This thesis investigates the usage of Siamese networks across three surveillance and security tasks for land border security. Siamese networks (also known as a twin-pair network) are a layout of neural networks that contain a segment that contains duplicated architecture and con figuration parameters for feature extraction of two inputs, combining the ...
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Efficient Siamese Network for UAV Tracking
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Xiaohan Zhang, Dong Wang, Xiaohong Ma
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Siamese Networks for Image Comparison and Discrepancy Localization
2021 4th International Conference on Artificial Intelligence and Pattern Recognition, 2021openaire +1 more source