Loss Functions
FLIP
Introduced by Andersson et al. in FLIP: A Difference Evaluator for Alternating Imageshttps://developer.nvidia.com/blog/flip-a-difference-evaluator-for-alternating-images/
Source: FLIP: A Difference Evaluator for Alternating ImagesPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 8 | 4.49% |
| Sentence | 7 | 3.93% |
| Self-Supervised Learning | 6 | 3.37% |
| Adversarial Robustness | 6 | 3.37% |
| Denoising | 5 | 2.81% |
| Adversarial Attack | 4 | 2.25% |
| Sentiment Analysis | 4 | 2.25% |
| Classification | 4 | 2.25% |
| Fairness | 3 | 1.69% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
