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Continual Image Classification on MiniImageNet Split

71.16AccuracyCODE-CL
44.01651.06358.1165.157May 11, 2021Feb 1, 2022Oct 25, 2022Jul 19, 2023Apr 10, 2024Jan 1, 2025Sep 25, 2025

Evaluation results

MethodLinks
CODE-CL2024.1171.16-1.1———
CODE-CL2025.0971.16-1.1——283.82
DFGP2024.1169.92-1———
Multitask2024.1169.46————
MultitaskNetwork=multi-head, Runs=5-run average2022.1169.46————
Multitask2025.0969.46————
SGP2024.1168.5-2———
GPM2024.1166.26-0.9———
MTLsetting=upper bound2021.0566.14————
API2024.1165.9-0.3———
TRGP+SD2024.1165.8-0.49———
TRGP - SD2025.0965.8-0.49———
TRGP2024.1165.08-0.5———
CUBER2024.1164.25-0.7———
LMSP2025.0964.21.55———
SGP2025.0962.83-1——127.37
CUBERNetwork=multi-head, Runs=5-run average, epsilon_2=0.02022.1162.670.23———
CUBER2025.0962.670.23——604.61
TRGPNetwork=multi-head, Runs=5-run average2022.1161.78-0.5———
TRGP2025.0961.78-0.5——543.22
GPMNetwork=multi-head, Runs=5-run average2022.1160.41-0.7———
GPM2025.0960.41-0.9——127.37
HAT2024.1159.78-3———
HATNetwork=multi-head, Runs=5-run average2022.1159.78-3———
HAT2025.0959.78-3———
LANCE2025.0959.68-0.99——32.96
ER_Res2024.1158.94-7———
ER ResNetwork=multi-head, Runs=5-run average2022.1158.94-7———
ER_Res2025.0958.94-7———
A-GEM2024.1157.24-12———
A-GEMNetwork=multi-head, Runs=5-run average2022.1157.24-12———
A-GEM2025.0957.24-12———
TAG-RMSProp2021.0557.2—662.73—
ERepisodic memory size=1 example per class2021.0554.67—1064.06—
EWC2024.1152.01-12———
EWCNetwork=multi-head, Runs=5-run average2022.1152.01-12———
EWC2025.0952.01-12———
Stable SGD2021.0551.81—959.99—
A-GEMepisodic memory size=1 example per class2021.0550.32—1161.02—
Naive SGD2021.0548.19—1360.6—
EWC2021.0547.87—1561.66—
Naive RMSProp2021.0545.06—2164.39—