| yjxiong/temporal-segment-networks |
1,235 |
|
0 |
0 |
over 5 years ago |
0 |
|
32 |
bsd-2-clause |
Python |
| Code & Models for Temporal Segment Networks (TSN) in ECCV 2016 |
| gurkirt/realtime-action-detection |
268 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
other |
MATLAB |
| This repository host the code for real-time action detection paper |
| chuckcho/video-caffe |
176 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
other |
C++ |
| Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data |
| bryanyzhu/Hidden-Two-Stream |
168 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
other |
C++ |
| Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition" |
| axon-research/c3d-keras |
159 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
other |
Python |
| C3D for Keras + TensorFlow |
| wanglimin/TDD |
106 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
MATLAB |
| Trajectory-pooled Deep-Convolutional Descriptors |
| openvinotoolkit/training_toolbox_caffe |
49 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
apache-2.0 |
Jupyter Notebook |
| Training Toolbox for Caffe |
| yifita/action.sr_cnn |
36 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
bsd-2-clause |
Matlab |
| code for Two-Stream SR-CNNs for Action Recognition in Videos 2016 |
| damien911224/theWorldInSafety |
31 |
|
0 |
0 |
almost 4 years ago |
0 |
|
8 |
gpl-3.0 |
C++ |
| Surveillance System Against Violence |
| antran89/my-very-deep-caffe |
21 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
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. |
