Few-Shot Class Incremental Learning on miniImageNet-C (Session Accuracy)
75.37Session 0 AccuracyRSGS
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| RSGS2025.06 | 75.37 | 13.51 | 55.71 | 44.03 | 22.93 | 44.94 | 42.78 | 25.65 | 26.04 | 39 | |
| TEEN2025.06 | 75.36 | 11.6 | 49.81 | 27.65 | 12.02 | 32.01 | 39.99 | 15.06 | 16.85 | 31.15 | |
| FACT2025.06 | 75.21 | 11.78 | 49.52 | 28.49 | 11.87 | 30.21 | 38.64 | 15.17 | 18.03 | 30.99 | |
| TOPIC2025.06 | 74.08 | 10.71 | 46.33 | 30.21 | 11.84 | 28.17 | 35.14 | 13.25 | 15.47 | 29.47 | |
| ProtoNet2025.06 | 73.92 | 11.09 | 44.27 | 26.29 | 10.23 | 24.36 | 33.08 | 10.44 | 14.32 | 27.56 | |
| CEC2025.06 | 73.76 | 11.42 | 47.18 | 32.94 | 13.51 | 29.57 | 36.25 | 13.93 | 17.19 | 30.64 | |
| iCaRL2025.06 | 71.68 | 10.04 | 41.73 | 25.91 | 10.44 | 25.61 | 32.33 | 10.01 | 14.17 | 26.88 |