TensorFlow implementation of two-stream VGG-16 net for object classfication in video frames
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Updated
Oct 13, 2017 - Jupyter Notebook
TensorFlow implementation of two-stream VGG-16 net for object classfication in video frames
Deep Nets written using the Keras framework.
Multi-stream CNN architectures for action detection with actor-centric filtering
A PyTorch implementation of "Spatiotemporal Multiplier Networks for Video Action Recognition"
Two-stream CNNs for video action recognition implemented in Keras
Non-Driving-Activiy_recognition in level 3 autonomous vehicle
A PyTorch implementation of "SlowFast Networks for Video Recognition"
PyTorch implementation of Two-stream CNN for 3D action recognition
SOC of two_stream action recognition on ZCU102
My re-implementation of two stream action recognition
Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
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