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https://github.com/D-Roberts/deeplearning-video-spatiotemp
Deep learning architectures related to video ++.
https://github.com/D-Roberts/deeplearning-video-spatiotemp
action-recognition artificial-intelligence computer-vision deep-learning gluon machine-learning mxnet neural-networks spatio-temporal video
Last synced: about 2 months ago
JSON representation
Deep learning architectures related to video ++.
- Host: GitHub
- URL: https://github.com/D-Roberts/deeplearning-video-spatiotemp
- Owner: D-Roberts
- License: apache-2.0
- Created: 2018-09-22T12:38:40.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-06-09T00:49:36.000Z (over 3 years ago)
- Last Synced: 2024-05-22T04:20:54.101Z (4 months ago)
- Topics: action-recognition, artificial-intelligence, computer-vision, deep-learning, gluon, machine-learning, mxnet, neural-networks, spatio-temporal, video
- Language: Python
- Homepage:
- Size: 3.12 MB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-MXNet - gluon-spaceTime
README
### Deep learning models related to space and time (trajectories, video, etc).
Content:
1. Gluon implementation of action in video recognition article "Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset" by Deepmind (translated from TensorFlow).
2. Gluon implementation of trajectory prediction in "Lorenz Map Prediction: A Trip Through Time" . (from scratch)