This folder implements MAE operations. Key components of transformers are located inside +layers. To run the code: To visualize the attention map, run MAE_inference_vit_[base/large].m. This will ...

This paper proposes an autoencoder (AE) framework with transformer encoder and extended multilinear mixing model (EMLM) embedded decoder for nonlinear hyperspectral anomaly detection. Specifically, ...

An autoencoder is a neural network that generates data highly similar to the input data for output. Although an autoencoder theoretically produces output almost identical to the input upon completion ...

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier.