Class Incremental Learning on ImageNet-1000 (incremental)
66.95Avg Incremental AccuracyPODNet (CNN)
Evaluation Results
| Method | Links | |
|---|---|---|
| PODNet (CNN)Steps=5, New classes per step=100, Inference classifier=CNN2020.04 | 66.95 | |
| LUCIR + DDER=5, T=5, Backbone=ResNet-182021.03 | 66.18 | |
| UCIR (CNN)*Steps=5, New classes per step=100, Inference classifier=CNN, Source=Reported from Hou et al. [14]2020.04 | 64.34 | |
| PODNet (CNN)Steps=10, New classes per step=50, Inference classifier=CNN2020.04 | 64.13 | |
| MnemonicsR=20, T=10, Backbone=ResNet-182021.03 | 63.01 | |
| LUCIRR=5, T=5, Backbone=ResNet-182021.03 | 62.61 | |
| PODNet + DDER=10, T=10, Backbone=ResNet-182021.03 | 62.09 | |
| UCIR (NME)*Steps=5, New classes per step=100, Inference classifier=NME, Source=Reported from Hou et al. [14]2020.04 | 61.56 | |
| UCIR (CNN)*Steps=10, New classes per step=50, Inference classifier=CNN, Source=Reported from Hou et al. [14]2020.04 | 61.28 | |
| UCIR (NME)*Steps=10, New classes per step=50, Inference classifier=NME, Source=Reported from Hou et al. [14]2020.04 | 59.92 | |
| PODNetR=10, T=10, Backbone=ResNet-182021.03 | 59.56 | |
| iCaRL*Steps=5, New classes per step=100, Source=Reported from Hou et al. [14]2020.04 | 51.36 | |
| iCaRL*Steps=10, New classes per step=50, Source=Reported from Hou et al. [14]2020.04 | 46.72 | |
| BiCSteps=5, New classes per step=1002020.04 | 45.72 | |
| BiCSteps=10, New classes per step=502020.04 | 44.31 |