A curated list of action recognition and related area resources

[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

Optical Flow and Deep Learning Use Cases

Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561

Code and models for the Action Recognition benchmark of Assembly101

OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition amidst Occlusions

Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)

Pytorch implementation of skeleton-based action recognition methods

Project for Biometrics class @ Unisa, Summer 2020

Bug reports and feature requests for macOS 11+ video action classification app Action Annotator.

LSTM

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

Using 2D and 3D ConvNet

Action classification based on multi-modal dataset

Person-by-Person Action Recognition

This project is to be able to classify any pose into a class by being able to process the landmarks or keypoints in the image.

An action classifier is proposed with LSTM model, where data are shaped with sequence data in 3D.

Implementation of https://arxiv.org/abs/1412.0767 using pytorch and keras.