Class-Incremental Learning on TinyImageNet 10 Steps (test)
52.71Average Last AccuracySEEDG
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SEEDGBuffer Size=500, Backbone=ViT2025.08 | 52.71 | — | — | |
| DytoxBuffer Size=500, Backbone=ViT2025.08 | 47.12 | — | — | |
| SEEDGBuffer Size=200, Backbone=ViT2025.08 | 46.4 | — | — | |
| DytoxBuffer Size=200, Backbone=ViT2025.08 | 37.84 | — | — | |
| SSILBuffer Size=500, Backbone=CNN2025.08 | 36.91 | — | — | |
| D3FormerBuffer Size=500, Backbone=ViT2025.08 | 34.3 | — | — | |
| AMDBuffer Size=500, Backbone=CNN2025.08 | 33.96 | — | — | |
| SSILBuffer Size=200, Backbone=CNN2025.08 | 32.78 | — | — | |
| CKDF-iCaRLBuffer Size=500, Backbone=CNN2025.08 | 32.11 | — | — | |
| AMDBuffer Size=200, Backbone=CNN2025.08 | 26.99 | — | — | |
| CKDF-iCaRLBuffer Size=200, Backbone=CNN2025.08 | 24.63 | — | — | |
| DER++Buffer Size=500, Backbone=CNN2025.08 | 19.64 | — | — | |
| FOSTERBuffer Size=500, Backbone=CNN2025.08 | 14.61 | — | — | |
| DER++Buffer Size=200, Backbone=CNN2025.08 | 12.43 | — | — | |
| FOSTERBuffer Size=200, Backbone=CNN2025.08 | 10.84 | — | — | |
| CLIP2026.03 | — | 69.55 | 65.59 | |
| Continual-CLIP2026.03 | — | 70.55 | 66.43 | |
| DyTox2026.03 | — | 52.26 | 42.79 | |
| Fine-tune2026.03 | — | 57.05 | 41.54 | |
| iCaRL2026.03 | — | 73.48 | 65.97 | |
| LwF2026.03 | — | 57.6 | 44 | |
| LwF-VR2026.03 | — | 74.12 | 67.05 | |
| PASS2026.03 | — | 47.19 | 39.27 | |
| SimE2026.03 | — | 79.32 | 75.37 | |
| SimEBackbone=CLIP ViT-L/14, Pre-trained Dataset=Laion-2B2026.03 | — | 86.41 | 83.33 | |
| UCIR2026.03 | — | 48.58 | 37.29 | |
| ZSCL2026.03 | — | 78.61 | 71.62 |