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Few-Shot Incremental Learning on CUB200 (test)

0.7585Accuracy (S0)CEC
0.6839320.7032910.722650.742009Apr 7, 2021

Evaluation results

MethodLinks
CECBackbone=ResNet-182021.040.75850.71940.6850.6350.62430.58270.57730.55810.54830.53520.52280.2357
Decoupled-CosineBackbone=ResNet-18, Implementation=Authors' implementation2021.040.75520.70950.66460.6120.60860.56880.5540.53490.51940.50930.49310.2621
Decoupled-DeepEMDBackbone=ResNet-182021.040.75350.70690.66680.62340.59760.56540.54610.52520.50730.4920.4760.2775
Ft-CNNBackbone=ResNet-182021.040.68680.4370.25050.17720.18080.16950.1510.1060.08930.08930.08470.6021
iCaRLBackbone=ResNet-18, Results copied from=TOPIC [39]2021.040.68680.52650.48610.44160.36620.29520.27830.26260.24010.23890.21160.4752
EEILBackbone=ResNet-18, Results copied from=TOPIC [39]2021.040.68680.53630.47910.4420.3630.27460.25930.2470.23950.24130.22110.4657
NCMBackbone=ResNet-18, Results copied from=TOPIC [39]2021.040.68680.57120.44210.28780.26710.25660.24620.21520.20120.20060.19870.4881
TOPICBackbone=ResNet-182021.040.68680.62490.54810.49990.45250.4140.38350.35360.32220.28310.26280.424