Image Data Augmentation
Adaptive Pseudo Augmentation
Introduced by Jiang et al. in Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Clustering | 2 | 9.52% |
| Language Modelling | 1 | 4.76% |
| Large Language Model | 1 | 4.76% |
| Saliency Detection | 1 | 4.76% |
| Medical Image Generation | 1 | 4.76% |
| Decision Making | 1 | 4.76% |
| Fault Detection | 1 | 4.76% |
| Automatic Speech Recognition (ASR) | 1 | 4.76% |
| Speech Recognition | 1 | 4.76% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
