Siamese Networks for Clinically Relevant Bacteria Classification Based on Raman Spectroscopy [PDF]
MoleculesIdentifying bacterial strains is essential in microbiology for various practical applications, such as disease diagnosis and quality monitoring of food and water.
Jhonatan Contreras +3 more
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Siamese Networks-Based People Tracking Using Template Update for 360-Degree Videos Using EAC Format [PDF]
Sensors, 2021 Rich information is provided by 360-degree videos. However, non-uniform geometric deformation caused by sphere-to-plane projection significantly decreases tracking accuracy of existing trackers, and the huge amount of data makes it difficult to achieve ...
Kuan-Chen Tai, Chih-Wei Tang
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SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks
IEEE Access, 2019 Object tracking based on visible images may fail when the visible images are unreliable, for example when the illumination condition is poor. Infrared images reveal thermal radiation of objects and are insensitive to these factors.
Xingchen Zhang +5 more
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Integrating Egocentric and Robotic Vision for Object Identification Using Siamese Networks and Superquadric Estimations in Partial Occlusion Scenarios [PDF]
BiomimeticsThis paper introduces a novel method that enables robots to identify objects based on user gaze, tracked via eye-tracking glasses. This is achieved without prior knowledge of the objects’ categories or their locations and without external markers.
Elisabeth Menendez +3 more
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Closing the Performance Gap between Siamese Networks for Dissimilarity Image Classification and Convolutional Neural Networks [PDF]
Sensors, 2021 Loris Nanni +2 more
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MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Siamese networks are widely used for remote sensing change detection tasks. A vanilla siamese network has two identical feature extraction branches which share weights, these two branches work independently and the feature maps are not fused until about ...
H. Zhou +6 more
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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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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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