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 | 15 | 26.32% |
| Image Super-Resolution | 7 | 12.28% |
| Object Detection | 3 | 5.26% |
| Pose Estimation | 3 | 5.26% |
| Superpixels | 2 | 3.51% |
| Ensemble Learning | 1 | 1.75% |
| Dictionary Learning | 1 | 1.75% |
| Language Modelling | 1 | 1.75% |
| Open Vocabulary Object Detection | 1 | 1.75% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
