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Benchmarks
Knowledge Distillation on MNIST + FASHION-MNIST
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98.48
Accuracy
MDA
91.9904
93.6752
95.36
97.0448
Mar 25, 2022
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
MDA
Backbone=VGG-16, Categ...
2022.03
98.48
MDA
Backbone=VGG-16, Categ...
2022.03
98.29
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
98.24
MDA
Backbone=VGG-16, Categ...
2022.03
97.35
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
96.69
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
96.12
MDA
Backbone=VGG-16, Categ...
2022.03
95.62
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
94.6
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
93.81
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
93.57
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
92.76
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
92.24
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