Image Representations
Low-resolution input
Introduced by Groos et al. in EfficientPose: Scalable single-person pose estimationPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Super-Resolution | 19 | 27.54% |
| Image Super-Resolution | 8 | 11.59% |
| Pose Estimation | 4 | 5.80% |
| Object Detection | 3 | 4.35% |
| Novel View Synthesis | 2 | 2.90% |
| Weather Forecasting | 2 | 2.90% |
| Superpixels | 2 | 2.90% |
| Reference-based Super-Resolution | 1 | 1.45% |
| Ensemble Learning | 1 | 1.45% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
