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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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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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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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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 to Investigate Scanner-Dependency in MRI
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023Magnetic resonance imaging (MRI) is an effective imaging tool that, due to its non-invasiveness and multiple-parameter nature, is frequently used in medicine. In particular, the MRI's inherent flexibility deriving from the usage of multiple parameters allows to obtain images of variable contrast and quality.
Polsinelli, Matteo +4 more
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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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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 Image Comparison and Discrepancy Localization
2021 4th International Conference on Artificial Intelligence and Pattern Recognition, 2021openaire +1 more source
Ensemble siamese networks for object tracking
Neural Computing and Applications, 2022Hanlin Huang +4 more
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