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Incremental Learning on TinyImageNet

70.02Avg Incremental AccuracyJoint
5.030421.902738.77555.6473Mar 12, 2022May 12, 2022Jul 13, 2022Sep 12, 2022Nov 13, 2022Jan 13, 2023Mar 16, 2023

Evaluation results

MethodLinks
Joint2023.0370.02
Joint2023.0367.98
LwF + ANCLANCL=true2023.0363.79
LwF2023.0362.09
LFL + ANCLANCL=true2023.0361.32
LwF + ANCLANCL=true2023.0360.96
LFL2023.0360.2
LwM2023.0359.78
LwM2023.0359.04
LwF2023.0359.04
LFL + ANCLANCL=true2023.0358.98
LFL2023.0358.47
EWC + ANCLANCL=true2023.0353.86
MAS + ANCLANCL=true2023.0353.58
EWC2023.0352.53
EWC + ANCLANCL=true2023.0352.49
MAS2023.0351.79
OursNumber of phases (P)=5, Number of exemplars (E)=02022.0350.39
MAS + ANCLANCL=true2023.0350.11
EWC2023.0350.1
PASSNumber of phases (P)=5, Number of exemplars (E)=02022.0349.55
MAS2023.0349.5
UCIRNumber of phases (P)=5, Number of exemplars (E)=202022.0349.15
OursNumber of phases (P)=10, Number of exemplars (E)=02022.0348.93
UCIRNumber of phases (P)=10, Number of exemplars (E)=202022.0348.52
OursNumber of phases (P)=20, Number of exemplars (E)=02022.0348.17
PASSNumber of phases (P)=10, Number of exemplars (E)=02022.0347.29
EEILNumber of phases (P)=5, Number of exemplars (E)=202022.0347.12
Joint2023.0346.85
Joint2023.0346.02
iCaRL-NCMNumber of phases (P)=5, Number of exemplars (E)=202022.0345.86
DMC2023.0345.65
EEILNumber of phases (P)=10, Number of exemplars (E)=202022.0345.01
DMC2023.0344.5
iCaRL-NCMNumber of phases (P)=10, Number of exemplars (E)=202022.0343.29
UCIRNumber of phases (P)=20, Number of exemplars (E)=202022.0342.83
BiC + ANCLAuxiliary Network Continual Learning=enabled2023.0342.61
PASSNumber of phases (P)=20, Number of exemplars (E)=02022.0342.07
iCaRL + ANCLAuxiliary Network Continual Learning=enabled2023.0341.46
PODNet + ANCLAuxiliary Network Continual Learning=enabled2023.0341.11
BiC2023.0340.56
BiC + ANCLAuxiliary Network Continual Learning=enabled2023.0340.56
EEILNumber of phases (P)=20, Number of exemplars (E)=202022.0340.5
PODNet2023.0340.28
PODNet + ANCLAuxiliary Network Continual Learning=enabled2023.0340.11
iCaRL + ANCLAuxiliary Network Continual Learning=enabled2023.0339.91
BiC2023.0339.21
iCaRL2023.0339.04
PODNet2023.0338.5
iCaRL-NCMNumber of phases (P)=20, Number of exemplars (E)=202022.0338.04
iCaRL2023.0337.9
LUCIR + ANCLAuxiliary Network Continual Learning=enabled2023.0337.89
LUCIR2023.0335.17
iCaRL-CNNNumber of phases (P)=5, Number of exemplars (E)=202022.0334.64
MUCNumber of phases (P)=5, Number of exemplars (E)=02022.0332.58
LUCIR + ANCLAuxiliary Network Continual Learning=enabled2023.0331.65
iCaRL-CNNNumber of phases (P)=10, Number of exemplars (E)=202022.0331.15
LUCIR2023.0330.02
LwF_MCNumber of phases (P)=5, Number of exemplars (E)=02022.0329.12
EEIL2023.0328.68
Fine-tuning2023.0328.51
EEIL2023.0328
iCaRL-CNNNumber of phases (P)=20, Number of exemplars (E)=202022.0327.9
Fine-tuning2023.0327.44
MUCNumber of phases (P)=10, Number of exemplars (E)=02022.0326.61
Fine-tuning2023.0324.18
LwF_MCNumber of phases (P)=10, Number of exemplars (E)=02022.0323.1
MUCNumber of phases (P)=20, Number of exemplars (E)=02022.0321.95
Fine-tuning2023.0320.35
EWCNumber of phases (P)=5, Number of exemplars (E)=02022.0318.8
LwF_MCNumber of phases (P)=20, Number of exemplars (E)=02022.0317.43
EWCNumber of phases (P)=10, Number of exemplars (E)=02022.0315.77
EWCNumber of phases (P)=20, Number of exemplars (E)=02022.0312.39
DERBufferSize=2002022.1011.87
ExSSNETBufferSize=02022.1011.21
DER++BufferSize=2002022.1010.96
SupSupBufferSize=02022.1010.27
ERBufferSize=2002022.108.49
LwFBufferSize=02022.108.46
A-GEMBufferSize=2002022.108.07
SGDBufferSize=02022.107.92
oEWCBufferSize=02022.107.58
iCARLBufferSize=2002022.107.53