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

63.63Accuracy

TraNFS-2

Updated 4d ago

Evaluation Results

Method	Links
TraNFS-2 2022.04		63.63
TraNFS-3 2022.04		63.61
Euclidean T = 50.0 2022.04		62.76
Cosine T = 2.0 2022.04		62.72
Absolute T = 50.0 2022.04		62.69
Cosine T = 5.0 2022.04		62.63
Oracle 2022.04		62.6
Cosine T = 0.2 2022.04		62.58
Euclidean T = 25.0 2022.04		62.57
Euclidean T = 10.0 2022.04		62.56
RNNP 2022.04		62.55
Median 2022.04		62.53
Cosine T = 0.5 2022.04		62.5
Cosine T = 1.0 2022.04		62.5
Absolute T = 25.0 2022.04		62.47
Vanilla ProtoNet 2022.04		62.43
Linear Classifier 2022.04		61.58
Absolute T = 10.0 2022.04		61.54
MAML 2022.04		59.76
Matching Networks 2022.04		57.82
Oracle 2022.04		56.89
TraNFS-2 2022.04		54.75
TraNFS-3 2022.04		54.72
Euclidean T = 10.0 2022.04		54.1
Absolute T = 25.0 2022.04		54.07
Median 2022.04		53.82
Absolute T = 10.0 2022.04		53.76
Absolute T = 50.0 2022.04		53.73
Euclidean T = 25.0 2022.04		53.72
Euclidean T = 50.0 2022.04		53.55
Cosine T = 0.2 2022.04		53.46
Cosine T = 5.0 2022.04		53.19
Cosine T = 2.0 2022.04		53.16
Nearest k = 1 2022.04		53.07
Cosine T = 0.5 2022.04		53.03
RNNP 2022.04		52.88
Cosine T = 1.0 2022.04		52.84
Vanilla ProtoNet 2022.04		52.78
Linear Classifier 2022.04		51.21
Nearest k = 3 2022.04		50.4
Nearest k = 5 2022.04		50.24
Matching Networks 2022.04		48.56
MAML 2022.04		47.08
Nearest k = 1 2022.04		44.66
Nearest k = 5 2022.04		42.26
Nearest k = 3 2022.04		41.59