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5-way 5-shot incremental learning on miniImageNet (TOPIC)

72.3Accuracy (Session 1)Rebalance
60.870463.837766.80569.7723Oct 30, 2021

Evaluation results

MethodLinks
Rebalancere-implementation=true, protocol=5-way 5-shot2021.1072.366.376156.9353.3149.9346.4744.1342.19-6.12
CRTre-implementation=true, protocol=5-way 5-shot2021.1072.0868.1563.0661.1256.5754.4751.8149.8648.31—
Joint-trainingre-implementation=true, protocol=5-way 5-shot2021.1072.0867.3162.0458.5154.4151.5348.745.4943.88-4.43
Baselineprotocol=5-way 5-shot2021.1072.0866.2961.9958.7155.7353.0450.448.5947.31-1
FSLLre-implementation=true, protocol=5-way 5-shot2021.1072.0859.0453.7551.1749.1147.2145.3544.0643.65-4.66
F2Mprotocol=5-way 5-shot2021.1072.0567.4763.1659.756.7153.7751.1149.2147.84-0.43
iCaRLre-implementation=true, protocol=5-way 5-shot2021.1071.7761.8558.1254.651.4948.4745.944.1942.71-5.6
FSLL+SSprotocol=5-way 5-shot2021.1068.8563.1459.2455.2352.2449.6547.7445.2343.92-4.39
FSLLre-implementation=false, protocol=5-way 5-shot2021.1066.4861.7558.1654.1651.148.5346.5444.242.28-6.03
iCaRLre-implementation=false, protocol=5-way 5-shot2021.1061.3146.3242.9437.6330.492420.8918.817.21-31.1
Rebalancere-implementation=false, protocol=5-way 5-shot2021.1061.3147.839.3131.9125.6821.3518.6717.2414.17-34.14
TOPICprotocol=5-way 5-shot2021.1061.3150.0945.1741.1637.4835.5232.1929.4624.42-23.89