LSTM
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Updated
Dec 14, 2019 - Jupyter Notebook
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)
Action Classification on Breakfast Dataset using Temporal Convolutional Networks (TCN)
Action classification based on multi-modal dataset
Using 2D and 3D ConvNet
Person-by-Person Action Recognition
Bug reports and feature requests for macOS 11+ video action classification app Action Annotator.
Implementation of https://arxiv.org/abs/1412.0767 using pytorch and keras.
An action classifier is proposed with LSTM model, where data are shaped with sequence data in 3D.
Pytorch implementation of skeleton-based action recognition methods
Project for Biometrics class @ Unisa, Summer 2020
Code and models for the Action Recognition benchmark of Assembly101
Optical Flow and Deep Learning Use Cases
Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561
Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
A curated list of action recognition and related area resources
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