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Task Incremental Learning on S-TinyImageNet

82.04AccuracyJOINT
13.202431.073748.94566.8163Oct 9, 2024

Evaluation results

MethodLinks
JOINTBackbone=ResNet-18, Pre-training=None, Batch size=322024.1082.04—
CLFD-CLS-ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1049.75—
CLS-ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1046.11—
CLFD-ER-ACEBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1044.71—
CLFD-ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1042.4—
ER-ACEBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1041.85—
CLFD-DER++Backbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1040.94—
CLS-ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1040.76—
CLFD-ER-ACEBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1038.05—
CLFD-CLS-ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1037.8—
SIBackbone=ResNet-18, Pre-training=None, Batch size=322024.1036.32—
ER-ACEBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1035.93—
ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1034.82—
CLFD-ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1034.67—
DER++Backbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=1252024.1032.92—
CLFD-DER++Backbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1031.55—
ERBackbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1026.8—
DER++Backbone=ResNet-18, Pre-training=None, Batch size=32, Buffer size=502024.1023.53—
oEWCBackbone=ResNet-18, Pre-training=None, Batch size=322024.1019.2—
SGDBackbone=ResNet-18, Pre-training=None, Batch size=322024.1018.31—
LwFBackbone=ResNet-18, Pre-training=None, Batch size=322024.1015.85—