Results 31 to 40 of about 5,338 (265)
SiaN-VO: Siamese Network for Visual Odometry. [PDF]
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.
europepmc +4 more sources
Comprehensive survey on target tracking based on Siamese network
In recent years,the target tracking algorithm based on Siamese network has attracted much attention because it can achieve a good balance between tracking accuracy and tracking efficiency.Through the intensive study of the literature of target tracking ...
Ming HAN +4 more
doaj
Online Siamese Network for Visual Object Tracking
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
doaj +1 more source
Siamese Network for Fake Item Detection. [PDF]
Currently, most multimedia users choose to purchase items through e-commerce. Nevertheless, one of the main concerns of online shopping is the possibility of obtaining counterfeit products. Therefore, it is crucial to monitor the product's authenticity, thus adopting an automatic mechanism to validate the similarity between the purchased item and the ...
Erica Coppolillo +5 more
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Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features [PDF]
Accurately measuring text similarity holds significant importance in various text-centric applications, including text clustering, information retrieval, and question/answer systems.
Bei Zhou
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The critical structure and nature of different bone marrow cells which form a base in the diagnosis of haematological ailments requires a high-grade classification which is a very prolonged approach and accounts for human error if performed manually ...
Balasundaram Ananthakrishnan +5 more
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Siamese networks for generating adversarial examples
Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models misclassify it. Previous approaches in the literature demonstrated that adversarial examples can even be generated for the remotely hosted model.
Mandar Kulkarni, Aria Abubakar
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Roof type classification with innovative machine learning approaches [PDF]
Recently, convolutional neural network-based methods have been used extensively for roof type classification on images taken from space. The most important problem with classification processes using these methods is that it requires a large amount of ...
Naim Ölçer, Didem Ölçer, Emre Sümer
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Face Recognition Method Based on Siamese Networks Under Non-Restricted Conditions
Face recognition is an important part of computer vision, and has a vital role to play in public safety. Because of the problems of low accuracy and low efficiency in the case of uneven image quality and occlusion due to sudden changes in light in face ...
Cunli Song, Shouyong Ji
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Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment
Siamese networks have gained considerable attention for object tracking due to their balance of speed and accuracy. However, existing Siamese tracking algorithms have been too rigid in their predictions of bounding box tags and lack uncertainty ...
Yihong Zhang +3 more
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