Implementation of https://arxiv.org/abs/1412.0767 using pytorch and keras.
-
Updated
Nov 3, 2017 - Python
Implementation of https://arxiv.org/abs/1412.0767 using pytorch and keras.
Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561
Action classification based on multi-modal dataset
Using 2D and 3D ConvNet
LSTM
Person-by-Person Action Recognition
Project for Biometrics class @ Unisa, Summer 2020
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)
Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Optical Flow and Deep Learning Use Cases
Bug reports and feature requests for macOS 11+ video action classification app Action Annotator.
An action classifier is proposed with LSTM model, where data are shaped with sequence data in 3D.
Code and models for the Action Recognition benchmark of Assembly101
A curated list of action recognition and related area resources
Pytorch implementation of skeleton-based action recognition methods
Add a description, image, and links to the action-classification topic page so that developers can more easily learn about it.
To associate your repository with the action-classification topic, visit your repo's landing page and select "manage topics."