vivit

There are 11 repositories under vivit topic.

  • mx-mark/VideoTransformer-pytorch

    PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

    Language:Python29433839

  • AliAmini93/ViViT-Medical-Video-Classification

    Developed the ViViT model for medical video classification, enhancing 3D organ image analysis using transformer-based architectures.

    Language:Jupyter Notebook27102

  • sanket-poojary-03/Fine-tuning-ViVit

    Python script to fine tune Open source Video Vision Transformer (ViVit) using HuggingFace Trainer Library

    Language:Python132

  • TomStog/Infrared-SpO2

    The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication

    Language:Python10170

  • moharamfatema/graduation-project

    Video vision transformers for hierarchical anomaly detection in video scenes.

    Language:Jupyter Notebook5114

  • quanghuy0497/MM-Fit_Excercise_Recognition

    Some incomplete works with 2D action recognition on MM-Fit dataset using ViT, ViViT, and MLP-Mixer Topics Resources

    Language:Jupyter Notebook4100

  • amitparag/Attention-Classification

    Slip detection with Franka Emika and GelSight Sensors

    Language:Jupyter Notebook10

  • brianhill11/ViViT-tensorflow

    Unofficial Tensorflow implementation of the ViViT model architecture

    Language:Python1310

  • denpalrius/sports_action_recognition

    A comparative study of ViViT, CNN-GRU sequence models for video action recognition using the UCF101 dataset

    Language:Jupyter Notebook10

  • KimRass/ViViT

    PyTorch implementation of 'ViViT' (Arnab et al., 2021) from scratch.

    Language:Python110

  • JakobGr/ADA

    This repository contains code for training and evaluating transformer-based models like TimeSformer and VideoMAE for sign language recognition on the WLASL dataset. The project includes frame sampling techniques, preprocessing pipelines, fine-tuning strategies, and performance evaluation using metrics like top-1, top-5, and top-10 accuracy.

    Language:Jupyter Notebook