Class Incremental Learning on Stream Dataset (71 tasks)
89.3AccuracyMulti-Task
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Multi-TaskTime=100%2023.05 | 89.3 | — | — | — | — | |
| BMCTime=78%, Memory size=10,0002023.05 | 70.4 | — | — | — | — | |
| ERTime=184%, Memory size=10,0002023.05 | 41.4 | — | — | — | — | |
| GDumbTime=129%, Memory size=10,0002023.05 | 33 | — | — | — | — | |
| ER-ACETime=184%, Memory size=10,0002023.05 | 29.3 | — | — | — | — | |
| iCaRLTime=141%2023.05 | 23.4 | — | — | — | — | |
| DER++Time=205%, Memory size=10,0002023.05 | 19.4 | — | — | — | — | |
| AGEMTime=231%2023.05 | 6.6 | — | — | — | — | |
| DERTime=170%, Memory size=10,0002023.05 | 5.6 | — | — | — | — | |
| AGEM_RTime=230%2023.05 | 4.3 | — | — | — | — | |
| SGDTime=100%2023.05 | 2.1 | — | — | — | — | |
| EWConTime=172%, Memory size=10,0002023.05 | 2.1 | — | — | — | — | |
| MASTime=144%, Memory size=10,0002023.05 | 2.1 | — | — | — | — | |
| SITime=515%, Memory size=10,0002023.05 | 1.4 | — | — | — | — | |
| DMCTime=140%, Memory size=10,0002023.05 | 1 | — | — | — | — | |
| A-GEM2023.05 | — | 6.6 | 0.67 | — | 231 | |
| Batch Model Consolidation2023.05 | — | 70.4 | 6.27 | — | 78 | |
| DER++2023.05 | — | 19.4 | 0.53 | — | 205 | |
| DMC2023.05 | — | 1 | 0.02 | — | 140 | |
| ER2023.05 | — | 41.4 | 5.4 | — | 184 | |
| EWCon2023.05 | — | 2.1 | 0.99 | — | 172 | |
| GDumb2023.05 | — | 33 | 4.29 | — | 129 | |
| iCaRL2023.05 | — | 23.4 | 0.59 | — | 141 | |
| Multi-Task2023.05 | — | 89.3 | — | — | 100 | |
| SGD2023.05 | — | 2.1 | — | — | 100 |