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 | 53 | 6.42% |
| Semantic Segmentation | 41 | 4.97% |
| Decoder | 34 | 4.12% |
| Object Detection | 24 | 2.91% |
| Time Series Forecasting | 23 | 2.79% |
| Image Classification | 21 | 2.55% |
| Denoising | 18 | 2.18% |
| Computational Efficiency | 12 | 1.45% |
| Deep Learning | 12 | 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 |
