# Masked Autoencoding

VideoMAE is a self-supervised pretrained video model based on Masked Autoencoder (MAE), fine-tuned on the Something-Something V2 dataset for video classification tasks.

VideoMAE is a masked autoencoder model for video, pretrained with self-supervision and fine-tuned on the Kinetics-400 dataset, suitable for video classification tasks.

VideoMAE is a video pretraining model based on Masked Autoencoder (MAE), fine-tuned on the Kinetics-400 dataset through self-supervised learning, suitable for video classification tasks.

VideoMAE is a video self-supervised pre-training model based on Masked Autoencoder (MAE), fine-tuned on the Kinetics-400 dataset for video classification tasks.