Transferability Estimation on Food
0.815Weighted Kendall's TauSFDA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SFDAWall-Clock Time (s)=703.7, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.815 | — | |
| SFDA2022.07 | 0.743 | — | |
| SFDAWall-Clock Time (s)=980.72022.07 | 0.685 | — | |
| NLEEPWall-Clock Time (s)=20000, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.624 | — | |
| SFDAModel type=ViT models2022.07 | 0.592 | 218.8 | |
| LogMEModel type=ViT models2022.07 | 0.58 | 33.1 | |
| NLEEPWall-Clock Time (s)=110002022.07 | 0.574 | — | |
| LogMEWall-Clock Time (s)=140.12022.07 | 0.57 | — | |
| LogME2022.07 | 0.535 | — | |
| LEEPWall-Clock Time (s)=37.1, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.491 | — | |
| LogMEWall-Clock Time (s)=54, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.385 | — | |
| NLEEP2022.07 | 0.233 | — | |
| NLEEPModel type=ViT models2022.07 | 0.105 | 34,000 |