Self-Supervised Learning
Masked autoencoder
Introduced by He et al. in Masked Autoencoders Are Scalable Vision LearnersPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Self-Supervised Learning | 50 | 7.17% |
| Semantic Segmentation | 39 | 5.60% |
| Decoder | 32 | 4.59% |
| Object Detection | 30 | 4.30% |
| Image Classification | 30 | 4.30% |
| Time Series Analysis | 15 | 2.15% |
| Denoising | 14 | 2.01% |
| Time Series Forecasting | 14 | 2.01% |
| Instance Segmentation | 9 | 1.29% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
