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Benchmarks
Classification on ImageNet 16H noise level 110
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11.62
Error Rate
P+L (MAP TS)
11.1652
14.2351
17.305
20.3749
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
11.62
P+L (IMax Binning)
Backbone=VGG-19, Numbe...
2021.09
12.3
P+L (Uncalibrated)
Backbone=VGG-19, Numbe...
2021.09
12.59
P+L (Ensemble TS)
Backbone=VGG-19, Numbe...
2021.09
13.18
L+L
Backbone=VGG-19, Numbe...
2021.09
14.07
P+L
Backbone=GoogLeNet, Ca...
2021.09
14.09
P+L
Backbone=GoogLeNet, Ca...
2021.09
14.53
P+L
Backbone=GoogLeNet, Ca...
2021.09
14.76
P+L
Backbone=GoogLeNet, Ca...
2021.09
14.78
L+L
Backbone=GoogLeNet
2021.09
15.43
VGG-19
Backbone=VGG-19
2021.09
15.51
GoogLeNet
Backbone=GoogLeNet
2021.09
19.09
Human
2021.09
22.99
Human
2021.09
22.99
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