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AMI-Net: Convolution Neural Networks With Affine Moment Invariants
IEEE Signal Processing Letters, 2018Affine moment invariant (AMI) is a kind of hand-crafted image feature, which is invariant to affine transformations. This property is precisely what the standard convolution neural network (CNN) is difficult to achieve. In this letter, we present a kind of network architecture to introduce AMI into CNN, which is called AMI-Net.
You Hao +4 more
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DR-Net with Convolution Neural Network
2020 8th International Conference on Intelligent and Advanced Systems (ICIAS), 2021Ahmad Bukhari Aujih +3 more
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Optical Flow Estimation with Convolutional Neural Nets
Pattern Recognition and Image Analysis, 2021null Syed Tafseer Haider Shah +2 more
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Generalized Net Model of the Deep Convolutional Neural Network
2020Generalized Nets (GNs) are constructed in a series of papers, representing the functioning and the results of the work of different types of Neural Networks (NNs). In the present research, we show the functioning and the results of the structure of a Convolutional Neural Networks.
Sotir Sotirov +4 more
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Steganalysis using Convolutional Neural Networks-Yedroudj Net
2023 International Conference on Computer Communication and Informatics (ICCCI), 2023Anuragh Vijjapu +5 more
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A reticular chemistry guide for the design of periodic solids
Nature Reviews Materials, 2021Hao Jiang +2 more
exaly
Patients with COVID-19: in the dark-NETs of neutrophils
Cell Death and Differentiation, 2021Maximilian Ackermann +2 more
exaly
U-Net Convolutional Neural Network for Optic Disc Segmentation
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023D'Alessandro, Vito Ivano +4 more
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