Image Classification on CUB, Oxford-IIIT Pets, Stanford Dogs, NABirds (Averaged)
81.1CUB AccuracyMoE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MoEFLOPs=1.1x, Memory=2.1x, Linear probing=true2024.07 | 81.1 | 92.7 | 83.1 | 75.8 | 83.2 | |
| EnsembleFLOPs=2x, Memory=2x, Linear probing=true2024.07 | 80.5 | 92.8 | 82.1 | 76.1 | 82.9 | |
| PLeaSFLOPs=1x, Memory=1x, Linear probing=true2024.07 | 75.2 | 85 | 69.6 | 69.7 | 74.9 | |
| MuDSCFLOPs=1x, Memory=1x, Linear probing=true2024.07 | 70.1 | 82.5 | 63.2 | 58.2 | 68.5 | |
| ZipIt!FLOPs=1x, Memory=1x, Linear probing=true2024.07 | 67.5 | 83.6 | 60 | 56.3 | 66.9 | |
| Git Re-BasinFLOPs=1x, Memory=1x, Linear probing=true2024.07 | 66.2 | 80.2 | 62.6 | 59.4 | 67.1 | |
| RegMeanFLOPs=1x, Memory=1x, Linear probing=true2024.07 | 42.5 | 45.1 | 20.2 | 37.1 | 36.2 | |
| Simple AvgFLOPs=1x, Memory=1x, Linear probing=true2024.07 | 7.1 | 19.2 | 9.2 | 4.7 | 10.1 |