Most unmixing methods are strictly spectral and do not exploit the spatial structure of hyperspectral images (HSIs). In this article, we present a new spectral-spatial linear mixture model and an ...

In this paper, the stacked convolutional autoencoder network structure constructed with fusion selection kernel attention mechanism is based on FCAE, which consists of an encoder and a decoder.

Wrexham A.F.C. have risen from the ashes under the stewardship of Ryan Reynolds and Rob McElhenney, who have helped take the Welsh club back into the English Football League after 15 years.

These results indicate that the introduced 2D convolutional autoencoder and multi-sequence, multi-scale asynchronous information extraction methods effectively capture asynchronous correlation ...

Keywords: plant leaf disease identification, SinGAN, autoencoder, convolutional block attention module, ResNet34 Citation: Chen J, Hu H and Yang J (2024) Plant leaf disease recognition based on ...

A common approach in the field of tactile robotics is the development of a new perception algorithm for each new application of existing hardware solutions. In this letter, we present a method of ...

The most basic architecture of an autoencoder is a feed-forward architecture, with a structure much like a single layer perceptron used in multilayer perceptrons.

In this article, we will define a Convolutional Autoencoder in PyTorch and train it on the CIFAR-10 dataset in the CUDA environment to create reconstructed images.