Results 1 to 10 of about 32,689 (273)
SiaN-VO: Siamese Network for Visual Odometry. [PDF]
Sensors (Basel), 2023 Despite the significant advancements in drone sensory device reliability, data integrity from these devices remains critical in securing successful flight plans. A notable issue is the vulnerability of GNSS to jamming attacks or signal loss from satellites, potentially leading to incomplete drone flight plans.
Faiçal BS, Marcondes CAC, Verri FAN.
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Distilled Siamese Networks for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high memory costs, which restrict their applicability to mobile devices with tight memory budgets. To address this issue, we propose a distilled Siamese tracking framework to
Jianbing Shen +5 more
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Online Siamese Network for Visual Object Tracking [PDF]
Sensors, 2019 Offline-trained Siamese networks are not robust to the environmental complication in visual object tracking. Without online learning, the Siamese network cannot learn from instance domain knowledge and adapt to appearance changes of targets.
Shuo Chang +3 more
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Cost-Sensitive Siamese Network for PCB Defect Classification. [PDF]
Comput Intell Neurosci, 2021 After the production of printed circuit boards (PCB), PCB manufacturers need to remove defected boards by conducting rigorous testing, while manual inspection is time‐consuming and laborious. Many PCB factories employ automatic optical inspection (AOI), but this pixel‐based comparison method has a high false alarm rate, thus requiring intensive human ...
Miao Y, Liu Z, Wu X, Gao J.
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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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IEEE Access, 2021 In order to solve the problems of unbalanced sample data and the lack of consideration of temporal information in existing Siamese-based trackers, this paper proposes a Siamese recurrent neural network and region proposal network (Siamese R-RPN), which ...
Xuechen Zhao, Yaoming Liu, Guang Han
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Analysing Siamese Neural Network Architectures for Computing Name Similarity.
International Journal of Population Data Science, 2022 Introduction A wide assortment of string similarity measures can be used to determine how similar two names are. A diverse set of discriminating and independent features for name similarity are important for classification during record linkage.
Nicholas Vinden +2 more
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Siamese Networks Based Deep Fusion Framework for Multi-Source Satellite Imagery
IEEE Access, 2022 A critical aim of pansharpening is to fuse coherent spatial and spectral features from panchromatic and multispectral images respectively. This study proposes deep siamese network based pansharpening model as a two-stage framework in a multiscale setting.
Hannan Adeel +3 more
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Class-balanced siamese neural networks [PDF]
Neurocomputing, 2018 Original siamese neural network objective function.Polar sine-based angular reformulation for cosine dissimilarity learning.Application on a multimodal human action dataset.New evaluations of 3 siamese neural networks using input data pairs, triplets and tuples.Projection space analysis and computation complexity.
Berlemont, Samuel +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Deep learning (DL) exhibits commendable performance in hyperspectral image (HSI) classification because of its powerful feature expression ability. Siamese neural network further improves the performance of DL models by learning similarities within-class
Zhaohui Xue +3 more
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