[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and self-supervised learning models. Additionally, it also collects many useful tutorials and tools in these related domains.

Research and Materials on Hardware implementation of Transformer Model

Easiest way of fine-tuning HuggingFace video classification models

[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection

[NeurIPS 2022 Spotlight] VideoMAE for Action Detection

Official implementation of CVPR 2024 paper "vid-TLDR: Training Free Token merging for Light-weight Video Transformer".

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

A demo project showing how to convert an MP4 video to MOV format using the Shotstack Ingest API.