As a commonly used model for anomaly detection, the autoencoder model for anomaly detection does not train the objective for extracted features, which is a downside of autoencoder model. In addition, ...

Besides, a competent CNN allows the autoencoder to reconstruct or predict abnormal video frames proficiently, resulting in missing anomalies. To mitigate these drawbacks, we propose an Autoencoder ...

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) - jaanli/variational-autoencoder ...

Unofficial implementation of Masked AutoEncoder (MAE) using PyTorch without using any prebuilt transformer modules. - Ugenteraan/Masked-AutoEncoder-PyTorch ...