Results 41 to 50 of about 4,017 (161)
SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
Sensors, 2020 Recent advances in object tracking based on deep Siamese networks shifted the attention away from correlation filters. However, the Siamese network alone does not have as high accuracy as state-of-the-art correlation filter-based trackers, whereas ...
Thierry Ntwari +3 more
doaj +1 more source
Cow Face Recognition for a Small Sample Based on Siamese DB Capsule Network
IEEE Access, 2022 Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences between individuals are
Feng Xu, Jing Gao, Xin Pan
doaj +1 more source
Siamese Network for Fake Item Detection. [PDF]
, 2023 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
openaire +2 more sources
Siamese networks for generating adversarial examples
CoRR, 2018 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
openaire +2 more sources
Target tracking method of Siamese networks based on the broad learning system
CAAI Transactions on Intelligence Technology, 2023 Target tracking has a wide range of applications in intelligent transportation, real‐time monitoring, human‐computer interaction and other aspects. However, in the tracking process, the target is prone to deformation, occlusion, loss, scale variation ...
Dan Zhang +4 more
doaj +1 more source
Siamese Dense Neural Network for Software Defect Prediction With Small Data
IEEE Access, 2019 Software defect prediction (SDP) exerts a major role in software development, concerning reducing software costs and ensuring software quality. However, developing an accurate SDP model is still a severe and challenging task with the lack of training ...
Linchang Zhao +4 more
doaj +1 more source
IEEE Access, 2020 This paper proposes a novel siamese cross contrast neural network (SCCNN) to classify the hepatocellular carcinoma (HCC) and the intrahepatic cholangiocarcinoma (ICC) on computed tomography (CT) images.
Qiyuan Wang +8 more
doaj +1 more source
Mathematics, 2022 Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions is critical.
Joseph Baquerizo +4 more
doaj +1 more source
CoRR, 2018 Capsule Networks have shown encouraging results on \textit{defacto} benchmark computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are yet to be tested on tasks where (1) the entities detected inherently have more complex internal representations and (2) there are very few instances per class to learn from and (3) where point ...
openaire +2 more sources
IEEE Access, 2019 Recently, Siamese network based trackers have been greatly developed and achieved state-of-the-art performance on multiple benchmarks. However, the decision-making mechanism needs to be studied more deeply in order to obtain higher accuracy.
Bo Huang +4 more
doaj +1 more source