Image Classification on CIFAR-10N (Random 1)
97.39AccuracyProMix
Evaluation Results
| Method | Links | |
|---|---|---|
| ProMixBackbone=VGG-19 with BN2022.07 | 97.39 | |
| CE+MAE (Semi)SSL=true2025.08 | 95.79 | |
| Proto-semiSSL=true2025.08 | 95.48 | |
| SOP+SSL=true2025.08 | 95.28 | |
| SOP+Backbone=VGG-19 with BN2022.07 | 95.28 | |
| DivideMixSSL=true2025.08 | 95.16 | |
| DivideMixBackbone=VGG-19 with BN2022.07 | 95.16 | |
| PES (Semi)SSL=true2025.08 | 95.06 | |
| PES(Semi)Backbone=VGG-19 with BN2022.07 | 95.06 | |
| CORES*SSL=true2025.08 | 94.45 | |
| CORES*Backbone=VGG-19 with BN2022.07 | 94.45 | |
| ELR+SSL=true2025.08 | 94.43 | |
| ELR+Backbone=VGG-19 with BN2022.07 | 94.43 | |
| CALSSL=true2025.08 | 90.93 | |
| CE+MAESSL=false2025.08 | 90.43 | |
| Co-Teaching+Backbone=VGG-19 with BN2022.07 | 90.33 | |
| JoCoRSSL=true2025.08 | 90.3 | |
| JoCoRBackbone=VGG-19 with BN2022.07 | 90.3 | |
| Negative-LSSSL=false2025.08 | 90.29 | |
| NLSHyperparameter Selection=Best2021.06 | 90.29 | |
| LSHyperparameter Selection=Best2021.06 | 89.8 | |
| F-DivSSL=false2025.08 | 89.7 | |
| Co-teaching+SSL=true2025.08 | 89.7 | |
| F-div2021.06 | 89.7 | |
| α-MAE2026.05 | 89.57 | |
| SGCE2026.05 | 89.19 | |
| Peer LossSSL=false2025.08 | 89.06 | |
| PL2021.06 | 89.06 | |
| ANL-CE2026.05 | 88.68 | |
| Unhinged2026.05 | 88.53 | |
| T-RevisionSSL=false2025.08 | 88.33 | |
| VolMinNetSSL=false2025.08 | 88.3 | |
| NCE+AGCE2026.05 | 87.92 | |
| AGCESSL=false2025.08 | 87.88 | |
| NCE+RCE2026.05 | 87.62 | |
| GCESSL=false2025.08 | 87.61 | |
| BLC2021.06 | 87.14 | |
| Forward TSSL=false2025.08 | 86.88 | |
| FLC2021.06 | 86.88 | |
| CESSL=false2025.08 | 85.02 | |
| CE2021.06 | 85.02 | |
| CEBackbone=VGG-19 with BN2022.07 | 85.02 |