Image Classification on ImageNet-C (Corruption Breakdowns)
99.82Accuracy (Gaussian Noise)LAME
Evaluation Results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LAMESetting=PTTA2026.06 | 99.82 | 99.74 | 99.8 | 90.95 | 99.12 | 99.52 | 97.43 | 99.92 | 98.31 | 99.32 | 52.41 | 99.4 | 99.78 | 97.31 | 91.87 | 94.98 | |
| TENTSetting=PTTA2026.06 | 99.66 | 99.66 | 99.68 | 99.54 | 99.58 | 96.83 | 67.2 | 98.86 | 99.62 | 99.26 | 45.81 | 92.6 | 99.68 | 99.56 | 99.52 | 93.14 | |
| CoTTASetting=PTTA2026.06 | 99.38 | 99.32 | 99.46 | 99.7 | 99.72 | 99.52 | 98.8 | 99.46 | 99.6 | 99.54 | 98.92 | 99.72 | 99.3 | 99.36 | 99.3 | 99.4 | |
| SourceSetting=PTTA2026.06 | 97.11 | 96.45 | 97.55 | 81.76 | 89.63 | 85.45 | 78.03 | 83.49 | 77.43 | 76.38 | 41.11 | 94.62 | 82.97 | 79.11 | 67.42 | 81.9 | |
| EATASetting=PTTA2026.06 | 86.86 | 86.16 | 86.36 | 88.02 | 87.66 | 78.57 | 70.06 | 72.81 | 73.82 | 61.22 | 45.3 | 87.66 | 64.19 | 60.57 | 66.99 | 74.42 | |
| RoTTASetting=PTTA2026.06 | 86.18 | 78.71 | 75.5 | 80.4 | 84.05 | 75.54 | 64.37 | 66.55 | 68.74 | 55.64 | 35.93 | 85.85 | 61.16 | 52.97 | 58.03 | 68.64 | |
| DA-TTASetting=PTTA2026.06 | 80.8 | 80.16 | 78.81 | 78.83 | 80.38 | 72.89 | 77.49 | 67.52 | 68.28 | 51.12 | 43.96 | 78.49 | 56.9 | 51.93 | 57.8 | 68.36 | |
| PALMSetting=PTTA2026.06 | 80.32 | 78.35 | 78.05 | 82.34 | 81.94 | 74.26 | 67.05 | 67.84 | 69.7 | 57.12 | 44.44 | 84.13 | 60.85 | 58.55 | 62.32 | 69.82 | |
| SARSetting=PTTA2026.06 | 79.47 | 77.47 | 78.45 | 80.48 | 81.5 | 72.69 | 64.77 | 71.93 | 75.1 | 61.38 | 44.54 | 81.48 | 67.13 | 63.7 | 64.47 | 70.97 | |
| BP-TTASetting=PTTA2026.06 | 78.33 | 74.92 | 73.23 | 80.32 | 83.27 | 75.02 | 64 | 64.67 | 63.98 | 52.53 | 37.68 | 82.76 | 60.51 | 52.15 | 58.21 | 66.77 | |
| SURGEONSetting=PTTA2026.06 | 77.77 | 59.01 | 61.4 | 66.67 | 69.38 | 83.47 | 81.84 | 81.44 | 60.79 | 74.68 | 84.99 | 80.08 | 60.63 | 48.03 | 68.36 | 70.57 | |
| MoCo-v3 + E-SSLvariant=‡2026.03 | 68.7 | 67.42 | 65.64 | 63 | 33.09 | 60.35 | 49.83 | 57.64 | 53.72 | 62.83 | 86.8 | 80.33 | 79.05 | 80.32 | 80.05 | 65.92 | |
| MoCo-v3 + SERTraining Type=Built upon MoCo2026.03 | 64.16 | 62.7 | 61.21 | 59.92 | 32.28 | 58.17 | 48.22 | 53.23 | 51.26 | 60.49 | 85.68 | 77.94 | 78.55 | 80.52 | 78.58 | 63.53 | |
| MoCo-v3 + SERvariant=‡2026.03 | 64 | 62.89 | 60.6 | 60.01 | 37.02 | 56.65 | 53.4 | 58.81 | 57.43 | 65.06 | 87.36 | 79.14 | 79.6 | 79.82 | 80.42 | 65.48 | |
| MoCo-v3Baseline=Standard2026.03 | 63.3 | 61.68 | 59.76 | 56.22 | 28.46 | 53.52 | 45.98 | 52.52 | 50.54 | 58.64 | 84.47 | 76.74 | 77.38 | 79.44 | 77.76 | 61.76 | |
| MoCo-v3 + AugSelfTraining Type=Built upon MoCo2026.03 | 58.96 | 55.21 | 54.61 | 59.06 | 34.52 | 57.55 | 48.71 | 55.05 | 49.48 | 59.3 | 84.39 | 76.26 | 78.25 | 79.15 | 78.02 | 61.9 | |
| MoCo-v3 + EquiModvariant=†2026.03 | 58.63 | 56.28 | 55.34 | 55.28 | 31.48 | 54.45 | 48.2 | 51.11 | 45.88 | 55.49 | 84.63 | 73.66 | 78.51 | 78.46 | 77.62 | 60.33 | |
| MoCo-v3 + STLTraining Type=Built upon MoCo2026.03 | 37.1 | 34.36 | 32.04 | 52.71 | 31.08 | 48.45 | 46.35 | 50.96 | 47.6 | 59.05 | 84.07 | 74.74 | 76.96 | 71.37 | 75.66 | 54.83 |