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Online Class-Incremental Learning on Mini-ImageNet Split

17.08Final Average AccuracyER-ACE w/ Ours
1.2725.3769.4813.584Oct 13, 2023

Evaluation results

MethodLinks
ER-ACE w/ OursMemory size |M|=5000, Batch size |B|=102023.1017.08
ER-ACE w/ OursMemory size |M|=2000, Batch size |B|=102023.1016.41
ER-ACE w/ CNMemory size |M|=2000, Batch size |B|=102023.1015.76
ER-ACE w/ CNMemory size |M|=5000, Batch size |B|=102023.1015.39
ER-ACE w/ BNMemory size |M|=5000, Batch size |B|=102023.1014.53
ER-ACE w/ BNMemory size |M|=2000, Batch size |B|=102023.1014.41
DER++ w/ OursMemory size |M|=5000, Batch size |B|=102023.1010.85
DER++ w/ OursMemory size |M|=2000, Batch size |B|=102023.1010.8
DER++ w/ CNMemory size |M|=2000, Batch size |B|=102023.1010.16
DER++ w/ CNMemory size |M|=5000, Batch size |B|=102023.108.94
DER++ w/ BNMemory size |M|=2000, Batch size |B|=102023.107.04
DER++ w/ BNMemory size |M|=5000, Batch size |B|=102023.106.59
ER-ACE w/ GNMemory size |M|=5000, Batch size |B|=102023.106.29
ER-ACE w/ LNMemory size |M|=2000, Batch size |B|=102023.106.28
ER-ACE w/ LNMemory size |M|=5000, Batch size |B|=102023.106.21
ER-ACE w/ GNMemory size |M|=2000, Batch size |B|=102023.105.33
ER-ACE w/ INMemory size |M|=5000, Batch size |B|=102023.105.13
ER-ACE w/ INMemory size |M|=2000, Batch size |B|=102023.105
DER++ w/ LNMemory size |M|=2000, Batch size |B|=102023.102.94
DER++ w/ GNMemory size |M|=2000, Batch size |B|=102023.102.8
DER++ w/ GNMemory size |M|=5000, Batch size |B|=102023.102.72
DER++ w/ INMemory size |M|=5000, Batch size |B|=102023.102.33
DER++ w/ LNMemory size |M|=5000, Batch size |B|=102023.102.21
DER++ w/ INMemory size |M|=2000, Batch size |B|=102023.101.88