Few-shot Image Classification on MiniImageNet 5-way 3-shot (test) benchmark leaderboard · SOTA2 Research

Few-shot Image Classification on MiniImageNet 5-way 3-shot (test)

63.63AccuracyTraNFS-2

Evaluation Results

Method	Links
TraNFS-22022.04		63.63
TraNFS-32022.04		63.61
Euclidean T = 50.02022.04		62.76
Cosine T = 2.02022.04		62.72
Absolute T = 50.02022.04		62.69
Cosine T = 5.02022.04		62.63
Oracle2022.04		62.6
Cosine T = 0.22022.04		62.58
Euclidean T = 25.02022.04		62.57
Euclidean T = 10.02022.04		62.56
RNNP2022.04		62.55
Median2022.04		62.53
Cosine T = 0.52022.04		62.5
Cosine T = 1.02022.04		62.5
Absolute T = 25.02022.04		62.47
Vanilla ProtoNet2022.04		62.43
Linear Classifier2022.04		61.58
Absolute T = 10.02022.04		61.54
MAML2022.04		59.76
Matching Networks2022.04		57.82
Oracle2022.04		56.89
TraNFS-22022.04		54.75
TraNFS-32022.04		54.72
Euclidean T = 10.02022.04		54.1
Absolute T = 25.02022.04		54.07
Median2022.04		53.82
Absolute T = 10.02022.04		53.76
Absolute T = 50.02022.04		53.73
Euclidean T = 25.02022.04		53.72
Euclidean T = 50.02022.04		53.55
Cosine T = 0.22022.04		53.46
Cosine T = 5.02022.04		53.19
Cosine T = 2.02022.04		53.16
Nearest k = 12022.04		53.07
Cosine T = 0.52022.04		53.03
RNNP2022.04		52.88
Cosine T = 1.02022.04		52.84
Vanilla ProtoNet2022.04		52.78
Linear Classifier2022.04		51.21
Nearest k = 32022.04		50.4
Nearest k = 52022.04		50.24
Matching Networks2022.04		48.56
MAML2022.04		47.08
Nearest k = 12022.04		44.66
Nearest k = 52022.04		42.26
Nearest k = 32022.04		41.59