Two Stream Fcan
The repository to contain codes and models for paper "Two-stream Flow-guided Convolutional Attention Networks for Action Recognition".
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nnstreamer | 650 | 3 months ago | 70 | lgpl-2.1 | C | |||||
| :twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices. | ||||||||||
| Hidden Two Stream | 168 | 6 years ago | 2 | other | C++ | |||||
| Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition" | ||||||||||
| Posebox Reid | 67 | 6 years ago | 3 | Python | ||||||
| A two-stream Re-id CNN network | ||||||||||
| Action.sr_cnn | 36 | 5 years ago | 1 | bsd-2-clause | Matlab | |||||
| code for Two-Stream SR-CNNs for Action Recognition in Videos 2016 | ||||||||||
| Two Stream Fcan | 23 | 6 years ago | 2 | other | Shell | |||||
| The repository to contain codes and models for paper "Two-stream Flow-guided Convolutional Attention Networks for Action Recognition". | ||||||||||
| My Very Deep Caffe | 21 | 6 years ago | other | C++ | ||||||
| This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily. | ||||||||||
| Ncs Pi Stream | 15 | 5 years ago | Python | |||||||
| Stream video on the web from RPi with object detection using Movidius Neural Compute Stick | ||||||||||
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