Image Classification on CIFAR-10N (test)
92.42AccuracyIP
Evaluation Results
| Method | Links | |
|---|---|---|
| IPBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 92.42 | |
| IP EnsembleBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 92.26 | |
| LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 92.13 | |
| Self-TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 92.03 | |
| TDABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 91.95 | |
| Self-LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 91.91 | |
| DataInfBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 91.88 | |
| GEXBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 91.81 | |
| EKFACBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 91.76 | |
| Cross EntropyBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 91.62 | |
| TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 90.48 | |
| FasTEN2021.11 | 87.01 | |
| MLoC2021.11 | 84.45 | |
| MSLC2021.11 | 84.35 | |
| MW-Net2021.11 | 83.82 | |
| MLaC2021.11 | 83.64 | |
| L2RW2021.11 | 83.15 | |
| Deep kNN2021.11 | 82.87 | |
| GLC2021.11 | 82.71 |