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Benchmarks
Knowledge Distillation on CIFAR-10 + CIFAR-100
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94
Accuracy
MDA
68.4784
75.1042
81.73
88.3558
Mar 25, 2022
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
MDA
Backbone=VGG-16, Categ...
2022.03
94
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
89.2
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
84.35
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
75.16
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
74.87
MDA
Backbone=VGG-16, Categ...
2022.03
74.17
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
74.03
MDA
Backbone=VGG-16, Categ...
2022.03
73.72
MDA
Backbone=VGG-16, Categ...
2022.03
72.07
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
71.6
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
71.38
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
69.46
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