Class Incremental Learning on CIFAR-100 Sequential (test)
92.54Final Top-1 AccuracyJoint
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| JointBackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 92.54 | — | — | 99.24 | |
| VBM-SLCABackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 91.78 | 94.52 | 99.64 | 99.29 | |
| SLCABackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 91.57 | 94.31 | 99.64 | 99.26 | |
| S-iPromptBackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 88.43 | 92.19 | 99.19 | 98.63 | |
| CODA-PromptBackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 86.86 | 91.27 | 99.29 | 98.64 | |
| DualPromptBackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 85.1 | 90.17 | 98.9 | 97.68 | |
| L2PBackbone=ViT-B/16, Memory Buffer=None, Evaluation Protocol=CIL2025.03 | 83.76 | 90.42 | 98.89 | 98.08 |