Image Classification on ImageNet (Target and All metrics)
71.33Target AccuracyOriginal
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OriginalBackbone=RN502026.05 | 71.33 | 53.81 | |
| OriginalBackbone=RN1012026.05 | 66.67 | 55.25 | |
| TIFSBackbone=RN502026.05 | 66.27 | 45.09 | |
| EMMNBackbone=RN1012026.05 | 62.67 | 36.54 | |
| TIFSBackbone=RN1012026.05 | 58.74 | 36.52 | |
| CLIP-LIPBackbone=RN502026.05 | 57.33 | 53.85 | |
| EMMNBackbone=RN502026.05 | 48 | 36.32 | |
| CATABackbone=RN502026.05 | 31.55 | 50.25 | |
| CATABackbone=RN1012026.05 | 27.33 | 51.02 | |
| CLIP-LIPBackbone=RN1012026.05 | 21.33 | 55.25 | |
| LIPBackbone=RN502026.05 | 0.14 | 0.16 | |
| FisherBackbone=RN1012026.05 | 0.13 | 0.17 | |
| FTBackbone=RN502026.05 | 0.1 | 0 | |
| GABackbone=RN502026.05 | 0 | 0.4 | |
| FisherBackbone=RN502026.05 | 0 | 0.11 | |
| FTBackbone=RN1012026.05 | 0 | 1.29 | |
| GABackbone=RN1012026.05 | 0 | 1.64 | |
| LIPBackbone=RN1012026.05 | 0 | 0.28 |