Image Classification on FaceScrub (val)
85.12AccuracyBottleneck
Evaluation results
| Method | Links | |
|---|---|---|
| Bottleneck2025.03 | 85.12 | |
| Bottleneck+CEMintegration=CEM2025.03 | 85 | |
| DistCorr+CEMintegration=CEM2025.03 | 83.78 | |
| DistCorr2025.03 | 83.42 | |
| Noise_Nopeek2025.03 | 82.06 | |
| Noise_Nopeek+CEMintegration=CEM2025.03 | 81.96 | |
| Average w/ CEM2025.03 | 81.38 | |
| Average w/o CEM2025.03 | 81.26 | |
| Noise_ARL+CEMintegration=CEM2025.03 | 80.33 | |
| Noise_ARL2025.03 | 80.14 | |
| PATROL+CEMintegration=CEM2025.03 | 79.88 | |
| ResSFL2025.03 | 79.6 | |
| ResSFL+CEMintegration=CEM2025.03 | 79.54 | |
| Dropout2025.03 | 79.3 | |
| Dropout+CEMintegration=CEM2025.03 | 79.19 | |
| PATROL2025.03 | 79.18 |