https://github.com/ParitoshParmar/C3D-LSTM--PyTorch
C3D-LSTM implementation in PyTorch [WACV 2019]
https://github.com/ParitoshParmar/C3D-LSTM--PyTorch
3dcnn action-quality-assessment c3d c3d-lstm deep-learning lstm pytorch video-processing video-understanding
Last synced: 6 months ago
JSON representation
C3D-LSTM implementation in PyTorch [WACV 2019]
- Host: GitHub
- URL: https://github.com/ParitoshParmar/C3D-LSTM--PyTorch
- Owner: ParitoshParmar
- Created: 2019-01-18T23:24:51.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-20T04:58:09.000Z (over 5 years ago)
- Last Synced: 2024-11-03T12:32:18.819Z (11 months ago)
- Topics: 3dcnn, action-quality-assessment, c3d, c3d-lstm, deep-learning, lstm, pytorch, video-processing, video-understanding
- Language: Python
- Homepage:
- Size: 91.8 KB
- Stars: 36
- Watchers: 4
- Forks: 10
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# C3D-LSTM--PyTorch
C3D-LSTM implementation in PyTorch.
## C3D-LSTM Network Diagram:
C3D-LSTM is used in the following papers:
1. [Learning to Score Olympic Events](https://arxiv.org/abs/1611.05125)
2. [Action Quality Assessment Across Multiple Actions](https://arxiv.org/abs/1812.06367)
Originally I had implemented [C3D-LSTM](https://github.com/ParitoshParmar/LTSOE) in Caffe. I haven't tested this PyTorch version for exact results, but it should give results close to original implementation.
Replace '...' with actual directories.