Pytorch implementation of skeleton-based action recognition methods
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Updated
Mar 2, 2024
Pytorch implementation of skeleton-based action recognition methods
A curated list of action recognition and related area resources
Code and models for the Action Recognition benchmark of Assembly101
An action classifier is proposed with LSTM model, where data are shaped with sequence data in 3D.
Bug reports and feature requests for macOS 11+ video action classification app Action Annotator.
Optical Flow and Deep Learning Use Cases
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)
Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
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)
Project for Biometrics class @ Unisa, Summer 2020
Person-by-Person Action Recognition
LSTM
Using 2D and 3D ConvNet
Action classification based on multi-modal dataset
Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561
Implementation of https://arxiv.org/abs/1412.0767 using pytorch and keras.
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