Video Sampling
Temporal Jittering
Temporal Jittering is a method used in deep learning for video, where we sample multiple training clips from each video with random start times during at every epoch.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Action Classification | 2 | 20.00% |
| Disentanglement | 1 | 10.00% |
| Video Editing | 1 | 10.00% |
| Pose Estimation | 1 | 10.00% |
| Action Detection | 1 | 10.00% |
| Clustering | 1 | 10.00% |
| Object Detection | 1 | 10.00% |
| Action Recognition | 1 | 10.00% |
| Temporal Action Localization | 1 | 10.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
