Class-Incremental Learning on ImageNet-100 20 tasks
66.36Average AccuracySSIL + TBBN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SSIL + TBBNBase CIL Method=SSIL, Normalization/Block Variant=TBBN, Backbone=ResNet-342022.01 | 66.36 | — | — | |
| SSIL + BNBase CIL Method=SSIL, Normalization/Block Variant=BN, Backbone=ResNet-342022.01 | 65.27 | — | — | |
| FT + TBBNBase CIL Method=FT, Normalization/Block Variant=TBBN, Backbone=ResNet-342022.01 | 64.76 | — | — | |
| SSIL + TBBNBase CIL Method=SSIL, Normalization/Block Variant=TBBN, Backbone=MobileNet-v22022.01 | 63.37 | — | — | |
| SSIL + BNBase CIL Method=SSIL, Normalization/Block Variant=BN, Backbone=MobileNet-v22022.01 | 62.25 | — | — | |
| FT + BNBase CIL Method=FT, Normalization/Block Variant=BN, Backbone=ResNet-342022.01 | 62 | — | — | |
| FT + TBBNBase CIL Method=FT, Normalization/Block Variant=TBBN, Backbone=MobileNet-v22022.01 | 60.41 | — | — | |
| SSIL + TBBNBase CIL Method=SSIL, Normalization/Block Variant=TBBN, Backbone=MnasNet (x0.5)2022.01 | 60.24 | — | — | |
| SSIL + TBBNBase CIL Method=SSIL, Normalization/Block Variant=TBBN, Backbone=ShuffleNet-V22022.01 | 60.07 | — | — | |
| SSIL + BNBase CIL Method=SSIL, Normalization/Block Variant=BN, Backbone=MnasNet (x0.5)2022.01 | 59.81 | — | — | |
| SSIL + BNBase CIL Method=SSIL, Normalization/Block Variant=BN, Backbone=ShuffleNet-V22022.01 | 59.69 | — | — | |
| FT + TBBNBase CIL Method=FT, Normalization/Block Variant=TBBN, Backbone=ShuffleNet-V22022.01 | 58.17 | — | — | |
| FT + BNBase CIL Method=FT, Normalization/Block Variant=BN, Backbone=MobileNet-v22022.01 | 57.43 | — | — | |
| FT + TBBNBase CIL Method=FT, Normalization/Block Variant=TBBN, Backbone=MnasNet (x0.5)2022.01 | 57.09 | — | — | |
| FT + BNBase CIL Method=FT, Normalization/Block Variant=BN, Backbone=ShuffleNet-V22022.01 | 55.37 | — | — | |
| FT + BNBase CIL Method=FT, Normalization/Block Variant=BN, Backbone=MnasNet (x0.5)2022.01 | 54.96 | — | — | |
| CLA-E2026.06 | — | 45.52 | 51.03 | |
| CLA-R2026.06 | — | 42.86 | 49.89 | |
| CLIMB2026.06 | — | 47.46 | 52.92 | |
| i.i.d.2026.06 | — | — | 53.93 | |
| MinRed2026.06 | — | 35.87 | 43.34 | |
| Osiris-R2026.06 | — | 37.06 | 42.72 | |
| PCMCpretraining=false2026.06 | — | 40.11 | 39.42 | |
| SCALE2026.06 | — | 28.7 | 33.43 |