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ResearchFormerly WizWand

Online Task-Incremental Learning on Mini-ImageNet Split (test)

69.12Avg AccuracyDER++ w/ AdaB2N
31.430441.21525160.7848Oct 13, 2023
Updated 8mo ago

Evaluation results

MethodLinks
DER++ w/ AdaB2NBase Algorithm=DER++, Normalization=AdaB2N, Batch Size |B|=10, Memory Size |M|=50002023.1069.12
ER-ACE w/ AdaB2NBase Algorithm=ER-ACE, Normalization=AdaB2N, Batch Size |B|=10, Memory Size |M|=50002023.1068.03
ER-ACE w/ AdaB2NBase Algorithm=ER-ACE, Normalization=AdaB2N, Batch Size |B|=10, Memory Size |M|=20002023.1066.78
DER++ w/ AdaB2NBase Algorithm=DER++, Normalization=AdaB2N, Batch Size |B|=10, Memory Size |M|=20002023.1066.42
DER++ w/ CNBase Algorithm=DER++, Normalization=CN, Batch Size |B|=10, Memory Size |M|=50002023.1066.14
ER-ACE w/ CNBase Algorithm=ER-ACE, Normalization=CN, Batch Size |B|=10, Memory Size |M|=50002023.1065.14
DER++ w/ CNBase Algorithm=DER++, Normalization=CN, Batch Size |B|=10, Memory Size |M|=20002023.1065.09
ER-ACE w/ BNBase Algorithm=ER-ACE, Normalization=BN, Batch Size |B|=10, Memory Size |M|=50002023.1064.6
ER-ACE w/ CNBase Algorithm=ER-ACE, Normalization=CN, Batch Size |B|=10, Memory Size |M|=20002023.1064.23
ER-ACE w/ BNBase Algorithm=ER-ACE, Normalization=BN, Batch Size |B|=10, Memory Size |M|=20002023.1063.62
DER++ w/ BNBase Algorithm=DER++, Normalization=BN, Batch Size |B|=10, Memory Size |M|=20002023.1061.7
DER++ w/ BNBase Algorithm=DER++, Normalization=BN, Batch Size |B|=10, Memory Size |M|=50002023.1061.28
ER-ACE w/ LNBase Algorithm=ER-ACE, Normalization=LN, Batch Size |B|=10, Memory Size |M|=20002023.1045.91
ER-ACE w/ LNBase Algorithm=ER-ACE, Normalization=LN, Batch Size |B|=10, Memory Size |M|=50002023.1045.82
ER-ACE w/ GNBase Algorithm=ER-ACE, Normalization=GN, Batch Size |B|=10, Memory Size |M|=50002023.1045.43
ER-ACE w/ GNBase Algorithm=ER-ACE, Normalization=GN, Batch Size |B|=10, Memory Size |M|=20002023.1043.45
ER-ACE w/ INBase Algorithm=ER-ACE, Normalization=IN, Batch Size |B|=10, Memory Size |M|=20002023.1041.07
ER-ACE w/ INBase Algorithm=ER-ACE, Normalization=IN, Batch Size |B|=10, Memory Size |M|=50002023.1040.93
DER++ w/ GNBase Algorithm=DER++, Normalization=GN, Batch Size |B|=10, Memory Size |M|=20002023.1040.65
DER++ w/ LNBase Algorithm=DER++, Normalization=LN, Batch Size |B|=10, Memory Size |M|=20002023.1040.05
DER++ w/ GNBase Algorithm=DER++, Normalization=GN, Batch Size |B|=10, Memory Size |M|=50002023.1038.26
DER++ w/ LNBase Algorithm=DER++, Normalization=LN, Batch Size |B|=10, Memory Size |M|=50002023.1037.64
DER++ w/ INBase Algorithm=DER++, Normalization=IN, Batch Size |B|=10, Memory Size |M|=50002023.1035.23
DER++ w/ INBase Algorithm=DER++, Normalization=IN, Batch Size |B|=10, Memory Size |M|=20002023.1032.88