Machine Unlearning on ImageNet-1K All Classes
54.33Zero-Shot AccuracyOriginal
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OriginalBackbone=RN1012026.05 | 54.33 | — | |
| CLIP-LIPBackbone=RN502026.05 | 53.78 | 100 | |
| ICEDBackbone=RN1012026.05 | 53.42 | 98.33 | |
| OriginalBackbone=RN502026.05 | 51.94 | — | |
| CLIP-LIPBackbone=RN1012026.05 | 51.49 | 94.77 | |
| ICEDBackbone=RN502026.05 | 50.43 | 97.09 | |
| TIFSBackbone=RN1012026.05 | 49.51 | 91.13 | |
| TIFSBackbone=RN502026.05 | 47.34 | 91.14 | |
| GABackbone=RN1012026.05 | 38.75 | 71.32 | |
| GABackbone=RN502026.05 | 35.39 | 68.14 | |
| EMMNBackbone=RN502026.05 | 32.25 | 62.09 | |
| FTBackbone=RN1012026.05 | 27.62 | 50.84 | |
| EMMNBackbone=RN1012026.05 | 26.43 | 48.65 | |
| FTBackbone=RN502026.05 | 24.8 | 47.75 | |
| LIPBackbone=RN1012026.05 | 1.74 | 3.2 | |
| LIPBackbone=RN502026.05 | 1.14 | 2.19 | |
| FisherBackbone=RN502026.05 | 1.09 | 2.1 | |
| FisherBackbone=RN1012026.05 | 0.27 | 0.5 |