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Few-shot classification on CUB meta (test)

97.92AccuracyNAO-centroid
38.213653.714369.21584.7157Oct 27, 2021Feb 3, 2022May 13, 2022Aug 20, 2022Nov 27, 2022Mar 6, 2023Jun 14, 2023

Evaluation results

MethodLinks
NAO-centroidway=5-way, shots=5-shot2023.0697.92
NAO-centroidFew-shot setting=5-way 5-shot2023.0697.92
SeedSelectway=5-way, shots=5-shot2023.0696.01
SeedSelectFew-shot setting=5-way 5-shot2023.0696.01
SEGAway=5-way, shots=5-shot, multi-modal=true, labels as information=true2023.0690.85
SEGAFew-shot setting=5-way 5-shot, multi-modal (class labels)=true2023.0690.85
Stable Diffusionway=5-way, shots=5-shot, multi-modal=true, pre-trained on external datasets=true2023.0690.61
Stable DiffusionFew-shot setting=5-way 5-shot, results from=[51], pre-trained on external datasets=true2023.0690.61
Units-NTSMeta-Training Dataset=mini-ImageNet, Uncertainty Threshold=0.12022.0388.82
DeepEMDway=5-way, shots=5-shot2023.0688.69
DeepEMDFew-shot setting=5-way 5-shot2023.0688.69
TriNetway=5-way, shots=5-shot2023.0684.1
TriNetFew-shot setting=5-way 5-shot2023.0684.1
FEATway=5-way, shots=5-shot2023.0682.9
MultiSemway=5-way, shots=5-shot, multi-modal=true, labels as information=true2023.0682.9
FEATFew-shot setting=5-way 5-shot2023.0682.9
MultiSemFew-shot setting=5-way 5-shot, multi-modal (class labels)=true2023.0682.9
Units-NTSMeta-Training Dataset=mini-ImageNet, Uncertainty Threshold=0.22022.0380.01
Bayesian TAMLMeta-Training Dataset=mini-ImageNet2022.0371.71
Units-NTSMeta-Training Dataset=mini-ImageNet2022.0367.95
Meta-SGDMeta-Training Dataset=mini-ImageNet2022.0365.94
MAMLMeta-Training Dataset=mini-ImageNet2022.0365.77
sparse-MAML+Problem=5-shot, Meta-learning dataset=miniImageNet2021.1062.02
fo-Proto-MAMLMeta-Training Dataset=mini-ImageNet2022.0361.77
BOILProblem=5-shot, Meta-learning dataset=miniImageNet2021.1060.92
sparse-MAMLProblem=5-shot, Meta-learning dataset=miniImageNet2021.1060.58
sparse-ReLU-MAMLProblem=5-shot, Meta-learning dataset=miniImageNet2021.1057.53
ANILProblem=5-shot, Meta-learning dataset=miniImageNet2021.1055.82
MAMLProblem=5-shot, Meta-learning dataset=miniImageNet2021.1053.09
BOILProblem=1-shot, Meta-learning dataset=miniImageNet2021.1044.2
sparse-MAML+Problem=1-shot, Meta-learning dataset=miniImageNet2021.1043.43
sparse-ReLU-MAMLProblem=1-shot, Meta-learning dataset=miniImageNet2021.1042.89
sparse-MAMLProblem=1-shot, Meta-learning dataset=miniImageNet2021.1041.37
ANILProblem=1-shot, Meta-learning dataset=miniImageNet2021.1041.12
MAMLProblem=1-shot, Meta-learning dataset=miniImageNet2021.1040.51