# Spatiotemporal Modeling

ViViT is an extension of the Vision Transformer (ViT) for video processing, particularly suitable for video classification tasks.

ViViT is an extension of the Vision Transformer (ViT) for video processing, primarily used for downstream tasks such as video classification.

VideoMAE is a video self-supervised pre-training model based on Masked Autoencoder (MAE), which learns video representations by predicting pixel values of masked video patches

A hybrid CNN-RNN architecture-based video classification model for action recognition tasks