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Benchmarks
Classification on ImageNet-16H noise level 80
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6.03
Error Rate
P+L (MAP TS)
5.692
7.9735
10.255
12.5365
Sep 29, 2021
Error Rate
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate
P+L (MAP TS)
Backbone=VGG-19, Numbe...
2021.09
6.03
P+L (IMax Binning)
Backbone=VGG-19, Numbe...
2021.09
6.31
L+L
Backbone=VGG-19, Numbe...
2021.09
6.78
P+L (Ensemble TS)
Backbone=VGG-19, Numbe...
2021.09
6.79
P+L
Backbone=GoogLeNet, Ca...
2021.09
6.8
L+L
Backbone=GoogLeNet
2021.09
7.33
P+L (Uncalibrated)
Backbone=VGG-19, Numbe...
2021.09
7.52
P+L
Backbone=GoogLeNet, Ca...
2021.09
7.66
P+L
Backbone=GoogLeNet, Ca...
2021.09
7.73
P+L
Backbone=GoogLeNet, Ca...
2021.09
8.06
Human
2021.09
9.99
Human
2021.09
9.99
VGG-19
Backbone=VGG-19
2021.09
11.1
GoogLeNet
Backbone=GoogLeNet
2021.09
14.48
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