Incremental Learning on CIFAR-100
65.88Average AccuracyOurs
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OursNumber of phases (P)=5, Number of exemplars (E)=02022.03 | 65.88 | — | |
| LUCIR + GeoDLNumber of tasks=52021.04 | 65.14 | 9.49 | |
| OursNumber of phases (P)=10, Number of exemplars (E)=02022.03 | 65.04 | — | |
| LUCIR + GeoDLNumber of tasks=102021.04 | 65.03 | 9.1 | |
| UCIRNumber of phases (P)=5, Number of exemplars (E)=202022.03 | 63.78 | — | |
| PASSNumber of phases (P)=5, Number of exemplars (E)=02022.03 | 63.47 | — | |
| MnemonicsNumber of tasks=52021.04 | 63.34 | 10.91 | |
| LUCIRNumber of tasks=52021.04 | 63.17 | 18.7 | |
| LUCIR + GeoDLNumber of tasks=252021.04 | 63.12 | 12.01 | |
| iCARL + GeoDLNumber of tasks=52021.04 | 62.54 | 12.2 | |
| UCIRNumber of phases (P)=10, Number of exemplars (E)=202022.03 | 62.39 | — | |
| MnemonicsNumber of tasks=102021.04 | 62.28 | 13.38 | |
| iCARL + GeoDLNumber of tasks=252021.04 | 61.84 | 26.84 | |
| PASSNumber of phases (P)=10, Number of exemplars (E)=02022.03 | 61.84 | — | |
| OursNumber of phases (P)=20, Number of exemplars (E)=02022.03 | 61.7 | — | |
| iCARL + GeoDLNumber of tasks=102021.04 | 61.4 | 21.1 | |
| MnemonicsNumber of tasks=252021.04 | 60.96 | 19.8 | |
| EEILNumber of phases (P)=5, Number of exemplars (E)=202022.03 | 60.37 | — | |
| LUCIRNumber of tasks=102021.04 | 60.14 | 21.34 | |
| BiCNumber of tasks=52021.04 | 59.36 | 31.42 | |
| UCIRNumber of phases (P)=20, Number of exemplars (E)=202022.03 | 59.07 | — | |
| SDCNumber of phases (P)=20, Number of exemplars (E)=02022.03 | 58.9 | — | |
| iCaRL-NCMNumber of phases (P)=5, Number of exemplars (E)=202022.03 | 58.56 | — | |
| PASSNumber of phases (P)=20, Number of exemplars (E)=02022.03 | 58.09 | — | |
| LUCIRNumber of tasks=252021.04 | 57.54 | 26.46 | |
| iCARLNumber of tasks=52021.04 | 57.12 | 31.88 | |
| SDCNumber of phases (P)=10, Number of exemplars (E)=02022.03 | 57 | — | |
| SDCNumber of phases (P)=5, Number of exemplars (E)=02022.03 | 56.77 | — | |
| EEILNumber of phases (P)=10, Number of exemplars (E)=202022.03 | 56.05 | — | |
| BiCNumber of tasks=102021.04 | 54.2 | 32.5 | |
| iCaRL-NCMNumber of phases (P)=10, Number of exemplars (E)=202022.03 | 54.19 | — | |
| iCARLNumber of tasks=102021.04 | 52.66 | 34.1 | |
| EEILNumber of phases (P)=20, Number of exemplars (E)=202022.03 | 52.34 | — | |
| iCaRL-CNNNumber of phases (P)=5, Number of exemplars (E)=202022.03 | 51.07 | — | |
| iCaRL-NCMNumber of phases (P)=20, Number of exemplars (E)=202022.03 | 50.51 | — | |
| BiCNumber of tasks=252021.04 | 50 | 34.6 | |
| LwFNumber of tasks=52021.04 | 49.59 | 43.36 | |
| MUCNumber of phases (P)=5, Number of exemplars (E)=02022.03 | 49.42 | — | |
| iCaRL-CNNNumber of phases (P)=10, Number of exemplars (E)=202022.03 | 48.66 | — | |
| iCARLNumber of tasks=252021.04 | 48.22 | 36.48 | |
| LwFNumber of tasks=102021.04 | 46.98 | 43.58 | |
| LwF_MCNumber of phases (P)=5, Number of exemplars (E)=02022.03 | 45.93 | — | |
| LwFNumber of tasks=252021.04 | 45.51 | 41.66 | |
| iCaRL-CNNNumber of phases (P)=20, Number of exemplars (E)=202022.03 | 44.43 | — | |
| MUCNumber of phases (P)=10, Number of exemplars (E)=02022.03 | 30.19 | — | |
| LwF_MCNumber of phases (P)=10, Number of exemplars (E)=02022.03 | 27.43 | — | |
| EWCNumber of phases (P)=5, Number of exemplars (E)=02022.03 | 24.48 | — | |
| MUCNumber of phases (P)=20, Number of exemplars (E)=02022.03 | 21.27 | — | |
| EWCNumber of phases (P)=10, Number of exemplars (E)=02022.03 | 21.2 | — | |
| LwF_MCNumber of phases (P)=20, Number of exemplars (E)=02022.03 | 20.07 | — | |
| EWCNumber of phases (P)=20, Number of exemplars (E)=02022.03 | 15.89 | — |