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Benchmarks
Knowledge Distillation on CIFAR-100 + Tiny-ImageNet
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0.855
Accuracy
MDA
0.413624
0.528212
0.6428
0.757388
Mar 25, 2022
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
MDA
Backbone=VGG-16, Categ...
2022.03
0.855
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
0.83
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
0.8131
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
0.7148
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
0.6986
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
0.6824
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
0.6752
Base (Source models average)
Backbone=VGG-16, Categ...
2022.03
0.5597
Knowledge Amalgamating (KA)
Backbone=VGG-16, Categ...
2022.03
0.5274
MDA
Backbone=VGG-16, Categ...
2022.03
0.5066
MDA
Backbone=VGG-16, Categ...
2022.03
0.5008
MDA
Backbone=VGG-16, Categ...
2022.03
0.4306
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