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Convolutional Neural Networks With Gated Recurrent Connections [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
The convolutional neural network (CNN) has become a basic model for solving many computer vision problems. In recent years, a new class of CNNs, recurrent convolution neural network (RCNN), inspired by abundant recurrent connections in the visual systems of animals, was proposed.
Xiaolin Hu
exaly   +6 more sources

Convolutional Recurrent Neural Networks forHyperspectral Data Classification [PDF]

open access: yesRemote Sensing, 2017
Deep neural networks, such as convolutional neural networks (CNN) and stacked autoencoders, have recently been successfully used to extract deep features for hyperspectral data classification. Recurrent neural networks (RNN) are another type of neural networks, which are widely used for sequence analysis because they are constructed to extract ...
Saurabh Prasad, Hao Wu
exaly   +2 more sources

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