Class-Incremental Learning on ImageNet100 Ns=10 (test)
56.88Average Last AccuracySEEDG
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SEEDGBuffer Size=500, Backbone=ViT2025.08 | 56.88 | — | — | — | |
| DytoxBuffer Size=500, Backbone=ViT2025.08 | 54.42 | — | — | — | |
| D3FormerBuffer Size=500, Backbone=ViT2025.08 | 53.11 | — | — | — | |
| SEEDGBuffer Size=200, Backbone=ViT2025.08 | 52.54 | — | — | — | |
| DytoxBuffer Size=200, Backbone=ViT2025.08 | 40.82 | — | — | — | |
| AMDBuffer Size=500, Backbone=CNN2025.08 | 39.14 | — | — | — | |
| CKDF-iCaRLBuffer Size=500, Backbone=CNN2025.08 | 38.9 | — | — | — | |
| AMDBuffer Size=200, Backbone=CNN2025.08 | 35.23 | — | — | — | |
| CKDF-iCaRLBuffer Size=200, Backbone=CNN2025.08 | 34.38 | — | — | — | |
| SSILBuffer Size=500, Backbone=CNN2025.08 | 31.6 | — | — | — | |
| SSILBuffer Size=200, Backbone=CNN2025.08 | 25.92 | — | — | — | |
| FOSTERBuffer Size=500, Backbone=CNN2025.08 | 22.48 | — | — | — | |
| DER++Buffer Size=500, Backbone=CNN2025.08 | 14.61 | — | — | — | |
| DER++Buffer Size=200, Backbone=CNN2025.08 | 12.32 | — | — | — | |
| DERBackbone=ResNet18, FLOPs (F)=6.68G2023.03 | — | 70.4 | 76.9 | 10.8 | |
| DNE-1headBackbone=Transformer, Number of heads=1, FLOPs (F)=2.68G2023.03 | — | 72.3 | 78.09 | 6.82 | |
| DNE-2headsBackbone=Transformer, Number of heads=2, FLOPs (F)=3.10G2023.03 | — | 73.64 | 78.88 | 5.48 | |
| DNE-4headsBackbone=Transformer, Number of heads=4, FLOPs (F)=4.02G2023.03 | — | 73.58 | 78.56 | 5.54 | |
| DytoxBackbone=Transformer, FLOPs (F)=1.38G2023.03 | — | 68.84 | 75.54 | 10.28 | |
| FOSTERBackbone=ResNet18, FLOPs (F)=1.12G2023.03 | — | 67.68 | 75.85 | 13.52 | |
| iCaRLBackbone=ResNet18, FLOPs (F)=1.12G2023.03 | — | 42.84 | 55.65 | 38.36 | |
| Joint (ResNet18)Backbone=ResNet18, FLOPs (F)=1.12G2023.03 | — | 81.2 | — | 0 | |
| Joint (Transf.)Backbone=Transformer, FLOPs (F)=1.38G2023.03 | — | 79.12 | — | 0 | |
| PODNetBackbone=ResNet18, FLOPs (F)=1.12G2023.03 | — | 63.46 | 73.57 | 17.74 |