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Generalized Few-Shot Learning on miniImageNet GFSL

78.7Accuracy (Novel)MVCN
29.35242.163554.97567.7865Nov 29, 2022

Evaluation results

MethodLinks
MVCNShots=10-shot2022.1178.768.0673.38———
LCwoFShots=10-shot2022.1176.7162.8669.78———
MVCNShots=5-shot2022.1175.267.6271.22———
XtarNetShots=10-shot2022.1170.4670.8870.67———
LCwoFShots=5-shot2022.1168.5864.5366.55———
AANShots=10-shot2022.1166.3362.4964.41———
DFSLShots=10-shot2022.1166.0469.8767.95———
XtarNetShots=5-shot2022.1162.4670.5766.52———
AANShots=5-shot2022.1160.8264.1462.48———
IWShots=5-shot2022.1159.2758.6858.98———
GcGPNShots=5-shot2022.1156.3259.357.81———
LCwoFShots=1-shot2022.1153.7862.8957.84———
MVCNShots=1-shot2022.1151.7265.8158.77———
XtarNetShots=1-shot2022.1147.0464.1755.61———
DFSLShots=5-shot2022.1146.9658.9252.94———
IWShots=10-shot2022.1145.8572.5359.19———
AANShots=1-shot2022.1145.6163.9254.76———
IWShots=1-shot2022.1141.3258.0449.68———
GcGPNShots=1-shot2022.1139.8654.6547.25———
DFSLShots=1-shot2022.1131.2517.7239.49———
Few-Shot Learning with Global Class RepresentationsEvaluation Protocol=Generalized Few-Shot Learning2019.08———39.1446.3212.98
MNEvaluation Protocol=Generalized Few-Shot Learning2019.08———26.9833.540.75
PNEvaluation Protocol=Generalized Few-Shot Learning2019.08———31.1739.530.52
RNEvaluation Protocol=Generalized Few-Shot Learning2019.08———32.4840.241.42