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Benchmarks
5-way Few-shot Classification on Caltech-256
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73.2
1-shot Accuracy
Δ-encoder
44.496
51.948
59.4
66.852
Jun 12, 2018
1-shot Accuracy
5-shot Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
1-shot Accuracy
5-shot Accuracy
Δ-encoder
Backbone features=ResNet
2018.06
73.2
83.6
Dual TriNet
Label embedding=true
2018.06
63.8
80.5
DEML+Meta-SGD
External training data...
2018.06
62.2
79.5
Nearest neighbor (baseline)
2018.06
51.3
67.5
Matching Nets
2018.06
48.1
57.5
MAML
2018.06
45.6
54.6
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