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Benchmarks
Knowledge Distillation on CIFAR-10 + Tiny-ImageNet
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94.7
Accuracy
MDA
40.204
54.352
68.5
82.648
Mar 25, 2022
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
MDA
Backbone=VGG-16, Categ...
2022.03
94.7
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
88.2
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
85.62
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
54.02
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
53.26
MDA
Backbone=VGG-16, Categ...
2022.03
53.2
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
52.67
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
51.97
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
51.84
MDA
Backbone=VGG-16, Categ...
2022.03
50.2
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
49.33
MDA
Backbone=VGG-16, Categ...
2022.03
42.3
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