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Few-Shot Open-Set Recognition on mini-ImageNet 5-shot

83.4AccuracyOSLO
50.359258.937167.51576.0929Jan 20, 2023

Evaluation results

MethodLinks
OSLOStrategy=Transductive Open-Set, Backbone=ResNet-122023.0183.482.5982.3466.98
TANE-GStrategy=Inductive Open-Set, Backbone=ResNet-122023.0183.1279.85——
LaplacianShotStrategy=Transductive classifiers, Backbone=ResNet-122023.0182.9457.1757.952.56
BDCSPNStrategy=Transductive classifiers, Backbone=ResNet-122023.0182.6661.2762.1753.26
TIM-GDStrategy=Transductive classifiers, Backbone=ResNet-122023.0182.4967.1966.1556.7
OpenMaxStrategy=Inductive Open-Set, Backbone=ResNet-122023.0182.2377.4277.6362.35
FEATStrategy=Inductive classifiers, Backbone=ResNet-122023.018253.2556.4850
SnatcherFStrategy=Inductive Open-Set, Backbone=ResNet-122023.018276.5776.9761.64
Baseline++Strategy=Inductive classifiers, Backbone=ResNet-122023.0181.8666.3765.5856.33
LR-ICIStrategy=Transductive classifiers, Backbone=ResNet-122023.0181.7751.8253.4950.8
SimpleShotStrategy=Inductive classifiers, Backbone=ResNet-122023.0181.7270.6170.0657.91
PEELERStrategy=Inductive Open-Set, Backbone=ResNet-122023.0180.6167.35——
PROSERStrategy=Inductive Open-Set, Backbone=ResNet-122023.0180.0874.9875.5860.11
PT-MAPStrategy=Transductive classifiers, Backbone=ResNet-122023.0178.1262.7862.4854.67
k-NNStrategy=OOD detection, Backbone=ResNet-122023.0176.2276.36—61.48
PCAStrategy=OOD detection, Backbone=ResNet-122023.0175.2475.53—60.73
OCVSMStrategy=OOD detection, Backbone=ResNet-122023.0168.4965.6—59.24
IForestStrategy=OOD detection, Backbone=ResNet-122023.0162.861.62—54.77
HBOSStrategy=OOD detection, Backbone=ResNet-122023.0161.1160.18—54.3
COPODStrategy=OOD detection, Backbone=ResNet-122023.0151.6352.65—51.31