Image Classification on ImageNet Transfer Learning Suite Many-Shot (test)
43.12Accuracy (Aircraft)IP-IRM
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IP-IRMRegime=Many-Shot2021.10 | 43.12 | 87.22 | 41.16 | 91.84 | 74.13 | 73.94 | 89.23 | 68.05 | 81.7 | 58.41 | 80.32 | 71.74 | |
| MoCo-v2Regime=Many-Shot2021.10 | 41.28 | 87.91 | 40.04 | 91.33 | 73.14 | 74.47 | 89.02 | 67.1 | 80.49 | 58.1 | 80.13 | 71.18 | |
| PIRLRegime=Many-Shot2021.10 | 37.08 | 74.48 | 28.72 | 82.53 | 61.26 | 68.99 | 83.6 | 64.65 | 71.36 | 53.89 | 76.61 | 63.92 | |
| InsDisRegime=Many-Shot2021.10 | 36.87 | 71.12 | 28.98 | 80.28 | 59.97 | 68.46 | 83.44 | 63.39 | 68.78 | 49.47 | 74.37 | 62.29 | |
| MoCo-v1Regime=Many-Shot2021.10 | 35.55 | 75.33 | 27.99 | 80.16 | 57.71 | 68.83 | 82.1 | 62.1 | 69.84 | 51.02 | 75.93 | 62.41 | |
| PCLRegime=Many-Shot2021.10 | 21.61 | 76.9 | 12.93 | 81.84 | 55.74 | 62.87 | 64.73 | 48.02 | 75.34 | 45.7 | 78.31 | 56.73 |