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 | 9 | 3.30% |
| Adversarial Robustness | 8 | 2.93% |
| Language Modelling | 8 | 2.93% |
| Sentence | 8 | 2.93% |
| Diversity | 7 | 2.56% |
| Federated Learning | 6 | 2.20% |
| Language Modeling | 6 | 2.20% |
| Emotion Recognition | 6 | 2.20% |
| Self-Supervised Learning | 6 | 2.20% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
