Image Classification on CoRe50 5 tasks, 10 classes per task
72.96AccuracyHydraCIL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HydraCILk (number of prototypes)=22026.06 | 72.96 | 0.56 | 0.002 | 3.8 | |
| CIFNet2026.06 | 72.33 | 3.21 | 0.002 | 0.011 | |
| HydraCILk (number of prototypes)=202026.06 | 72.29 | 0.6 | 0.002 | 4.1 | |
| HydraCILk (number of prototypes)=52026.06 | 72.24 | 0.56 | 0.002 | 4 | |
| RMM-FOSTER2026.06 | 48.76 | 255.92 | 1.544 | 0.269 | |
| DER2026.06 | 47.61 | 134.76 | 0.804 | 0.14 | |
| Fine-tune2026.06 | 19.11 | 31.61 | 0.186 | 0.032 |