Image Classification on CIFAR-10N (Random 2)
97.55AccuracyProMix
Evaluation Results
| Method | Links | |
|---|---|---|
| ProMix2022.07 | 97.55 | |
| CE+MAE (Semi)SSL=true2025.08 | 95.91 | |
| Proto-semiSSL=true2025.08 | 95.48 | |
| SOP+SSL=true2025.08 | 95.31 | |
| DivideMixSSL=true2025.08 | 95.23 | |
| Divide-Mix2022.07 | 95.23 | |
| PES (Semi)SSL=true2025.08 | 95.19 | |
| PES (Semi)mode=Semi-supervised2022.07 | 95.19 | |
| CORES*SSL=true2025.08 | 94.88 | |
| CORES*2022.07 | 94.88 | |
| ELR+SSL=true2025.08 | 94.2 | |
| ELR+2022.07 | 94.2 | |
| CALSSL=true2025.08 | 90.75 | |
| CAL2022.07 | 90.75 | |
| CE+MAESSL=false2025.08 | 90.55 | |
| Negative-LSSSL=false2025.08 | 90.37 | |
| Negative-LS2022.07 | 90.37 | |
| JoCoRSSL=true2025.08 | 90.21 | |
| F-DivSSL=false2025.08 | 89.79 | |
| F-Div2022.07 | 89.79 | |
| Co-teaching+SSL=true2025.08 | 89.47 | |
| Co-teaching+2022.07 | 89.47 | |
| α-MAE2026.05 | 89.37 | |
| Positive-LS2022.07 | 89.35 | |
| SGCE2026.05 | 88.92 | |
| Peer LossSSL=false2025.08 | 88.76 | |
| Peer Loss2022.07 | 88.76 | |
| VolMinNetSSL=false2025.08 | 88.27 | |
| VolMinNet2022.07 | 88.27 | |
| ANL-CE2026.05 | 88.19 | |
| Unhinged2026.05 | 88.1 | |
| AGCESSL=false2025.08 | 88.01 | |
| T-RevisionSSL=false2025.08 | 87.71 | |
| GCESSL=false2025.08 | 87.7 | |
| NCE+RCE2026.05 | 87.66 | |
| NCE+AGCE2026.05 | 87.61 | |
| CESSL=false2025.08 | 86.46 | |
| CE2022.07 | 86.46 | |
| Forward TSSL=false2025.08 | 86.14 | |
| Forward T2022.07 | 86.14 |