Transformers 3rd Edition
-
Updated
Oct 30, 2024 - Jupyter Notebook
Transformers 3rd Edition
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
TianChi AIEarth Contest Solution
Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", paper available on IEEE Transactions on Information Forensics and Security.
The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"
Experimental fork of TimeSformer from Facebook AI to extend the attention-based model to video generation.
Extended implementation of the Vesuvius Challenge 2023 Grand Prize winner. This project features extra functionality compared to the original ink detection script, giving users fine control over the layers they perform inference on.
Experimental fork of TimeSformer from Facebook AI to extend the attention-based model to video generation.
Add a description, image, and links to the timesformer topic page so that developers can more easily learn about it.
To associate your repository with the timesformer topic, visit your repo's landing page and select "manage topics."