Transferability Estimation on Pets
0.792Weighted Kendall's tauNLEEP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NLEEPWall-Clock Time (s)=186.52022.07 | 0.792 | — | |
| SFDA2022.07 | 0.788 | — | |
| SFDAModel type=ViT models2022.07 | 0.787 | 45.6 | |
| NLEEP2022.07 | 0.768 | — | |
| SFDAWall-Clock Time (s)=181.2, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.734 | — | |
| LogMEWall-Clock Time (s)=40.92022.07 | 0.684 | — | |
| LogME2022.07 | 0.629 | — | |
| NLEEPWall-Clock Time (s)=580.8, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.599 | — | |
| SFDAWall-Clock Time (s)=157.72022.07 | 0.586 | — | |
| LogMEModel type=ViT models2022.07 | 0.528 | 4.9 | |
| LogMEWall-Clock Time (s)=9.4, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.411 | — | |
| NLEEPModel type=ViT models2022.07 | 0.409 | 256.4 | |
| LEEPWall-Clock Time (s)=3.9, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.389 | — |