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Few-shot image classification on CIFAR-FS 100 variant (test)

89.6AccuracyProtoNet+LLS
70.93275.778580.62585.4715Nov 8, 2021

Evaluation results

MethodLinks
ProtoNet+LLSBackbone=ResNet-12, Shots=5-shot2021.1189.6
MCT (Inst)Backbone=ResNet-12, Shots=5-shot2021.1189.11
R2-D2+AugBackbone=ResNet-12, Shots=5-shot2021.1187.63
S2M2_RBackbone=WRN-28-10, Shots=5-shot2021.1187.47
ProtoNet* (baseline)Backbone=ResNet-12, Shots=5-shot2021.1186.15
MetaOptNet-SVMBackbone=ResNet-12, Shots=5-shot2021.1184.2
ProtoNet+LLSBackbone=ResNet-12, Shots=1-shot2021.1178.76
MCT (Inst)Backbone=ResNet-12, Shots=1-shot2021.1177.84
R2-D2+AugBackbone=ResNet-12, Shots=1-shot2021.1176.51
S2M2_RBackbone=WRN-28-10, Shots=1-shot2021.1174.81
MetaOptNet-SVMBackbone=ResNet-12, Shots=1-shot2021.1172
ProtoNet* (baseline)Backbone=ResNet-12, Shots=1-shot2021.1171.65