Class-Incremental Learning on CIFAR100 20-step split
83.99Average AccuracyiGSP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| iGSP2026.05 | 83.99 | 76.54 | |
| MoE-Adapter(++)2026.05 | 83.72 | 76.2 | |
| ZSCL2026.05 | 80.39 | 69.58 | |
| CLIP zero-shotmode=zero-shot2026.05 | 75.2 | 65.74 | |
| LwF-VR2026.05 | 74.54 | 63.54 | |
| DER2026.05 | 73.98 | 62.55 | |
| iCaRL2026.05 | 73.32 | 64.55 | |
| DyTox2026.05 | 71.62 | 57.43 | |
| BiC2026.05 | 66.48 | 47.02 | |
| LwF2026.05 | 60.64 | 40.56 | |
| Fine-tune2026.05 | 59.69 | 43.13 | |
| UCIR2026.05 | 58.17 | 40.63 | |
| Ours-LWMBackbone=Pretrained ResNet-18, Buffer=02026.06 | 56.19 | 43.16 | |
| Ours-LWM+ConBackbone=Pretrained ResNet-18, Buffer=02026.06 | 56.18 | 43.1 | |
| PODNet2026.05 | 53.97 | 35.02 | |
| DERBackbone=ResNet32, Buffer=20002026.06 | 46.27 | 43.62 | |
| iCaRLBackbone=ResNet32, Buffer=20002026.06 | 42.17 | 33.1 | |
| BiCBackbone=ResNet32, Buffer=20002026.06 | 39.3 | 36.17 | |
| Fine-tuningBackbone=Pretrained ResNet-18, Buffer=02026.06 | 37.87 | 16.96 | |
| LwFBackbone=ResNet32, Buffer=02026.06 | 37 | 26.58 | |
| PODNetBackbone=Cosine ResNet32, Buffer=20002026.06 | 36.67 | 27.36 | |
| FeTrILBackbone=ResNet32, Buffer=02026.06 | 25.93 | 18.51 | |
| SimpleCILBackbone=Cosine ResNet32, Buffer=02026.06 | 15.19 | 8.73 |