Class Incremental Learning on ImageNet-1000 1.0 (test)
89.1Top-5 Acc (Avg)Upper Bound
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Upper BoundNumber of incremental steps=102019.11 | 89.1 | — | — | — | — | — | — | — | — | — | — | — | |
| WANumber of incremental steps=102019.11 | 85.7 | 81.1 | — | — | — | — | — | — | — | — | — | — | |
| BiCNumber of incremental steps=102019.11 | 82.9 | 73.2 | — | — | — | — | — | — | — | — | — | — | |
| IL2MNumber of incremental steps=102019.11 | 78.3 | — | — | — | — | — | — | — | — | — | — | — | |
| EEILNumber of incremental steps=102019.11 | 69.4 | 52.3 | — | — | — | — | — | — | — | — | — | — | |
| iCaRLNumber of incremental steps=102019.11 | 60.8 | 44 | — | — | — | — | — | — | — | — | — | — | |
| EFT-a16b64Backbone=AlexNet, Parameter Increase (%)=0.6%2021.03 | 59.4 | — | 69 | 63.2 | 60.1 | 62.5 | 53.6 | 57.2 | 55.1 | 52.8 | 55.7 | 62.5 | |
| PackNetBackbone=AlexNet2021.03 | 59.1 | — | 67.5 | 65.8 | 62.2 | 58.4 | 58.6 | 58.7 | 56 | 56.5 | 54.1 | 53.6 | |
| IMM-modeBackbone=AlexNet2021.03 | 54.8 | — | 68.5 | 53.6 | 52.1 | 51.7 | 52.5 | 55.5 | 54.7 | 53.5 | 54.2 | 51.8 | |
| FreezingBackbone=AlexNet2021.03 | 54 | — | 68.8 | 53.5 | 52 | 51.2 | 51.3 | 53.9 | 52.2 | 53.9 | 51.7 | 51.2 | |
| LwFBackbone=AlexNet2021.03 | 50.2 | — | 27.6 | 37.2 | 42 | 44.4 | 50.5 | 56.6 | 57.9 | 61.2 | 62 | 62.7 | |
| LwF.MCNumber of incremental steps=102019.11 | 42.5 | 24.3 | — | — | — | — | — | — | — | — | — | — | |
| FinetuningBackbone=AlexNet2021.03 | 42.3 | — | 25.8 | 32.2 | 31.4 | 37.8 | 39.1 | 43.7 | 46 | 50 | 53.4 | 63.7 | |
| EWCBackbone=AlexNet2021.03 | 38 | — | 21.8 | 26.5 | 29.5 | 32.9 | 35.6 | 40.4 | 40 | 44.7 | 47.8 | 61.1 |