Few-shot Image Classification on CifarFS 5-way 5-shot
61.39AccuracyUnits-ML
Evaluation results
| Method | Links | |
|---|---|---|
| Units-MLTraining tasks=10000 Tasks2022.03 | 61.39 | |
| Units-NTSTraining tasks=10000 Tasks2022.03 | 61.3 | |
| Units-MLTraining tasks=8000 Tasks2022.03 | 60.53 | |
| Units-NTSTraining tasks=8000 Tasks2022.03 | 58.37 | |
| UA MetaSGD NTSTraining tasks=10000 Tasks2022.03 | 58.3 | |
| UA MetaSGD TSTraining tasks=10000 Tasks2022.03 | 58.3 | |
| UA MetaSGD TSTraining tasks=8000 Tasks2022.03 | 55.98 | |
| Units-MLTraining tasks=4000 Tasks2022.03 | 55.88 | |
| UA MetaSGD NTSTraining tasks=8000 Tasks2022.03 | 54.38 | |
| Units-NTSTraining tasks=4000 Tasks2022.03 | 53.87 | |
| UA MetaSGD TSTraining tasks=4000 Tasks2022.03 | 52.93 | |
| UA MetaSGD NTSTraining tasks=4000 Tasks2022.03 | 52.18 | |
| Versa TSTraining tasks=10000 Tasks2022.03 | 43.75 | |
| Versa NTSTraining tasks=10000 Tasks2022.03 | 42.91 | |
| Versa TSTraining tasks=8000 Tasks2022.03 | 42.06 | |
| Versa NTSTraining tasks=8000 Tasks2022.03 | 40.11 | |
| Versa TSTraining tasks=4000 Tasks2022.03 | 33.38 | |
| Versa NTSTraining tasks=4000 Tasks2022.03 | 32.6 | |
| MAMLTraining tasks=8000 Tasks2022.03 | 30.14 | |
| MAMLTraining tasks=10000 Tasks2022.03 | 29.95 | |
| MAMLTraining tasks=4000 Tasks2022.03 | 29.72 |