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ResearchFormerly WizWand

Classification on ImageNet 16H noise level 110

11.62Error RateP+L (MAP TS)
11.165214.235117.30520.3749Sep 29, 2021
Updated 8mo ago

Evaluation results

MethodLinks
P+L (MAP TS)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-5152, Calibration=MAP TS2021.0911.62
P+L (IMax Binning)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-5152, Calibration=IMax Binning2021.0912.3
P+L (Uncalibrated)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-51522021.0912.59
P+L (Ensemble TS)Backbone=VGG-19, Number of seeds=25, Labeled data points=5067-5152, Calibration=Ensemble TS2021.0913.18
L+LBackbone=VGG-19, Number of seeds=25, Labeled data points=5067-51522021.0914.07
P+LBackbone=GoogLeNet, Calibration=MAP TS2021.0914.09
P+LBackbone=GoogLeNet, Calibration=IMax Binning2021.0914.53
P+LBackbone=GoogLeNet, Calibration=Ensemble TS2021.0914.76
P+LBackbone=GoogLeNet, Calibration=Uncalibrated2021.0914.78
L+LBackbone=GoogLeNet2021.0915.43
VGG-19Backbone=VGG-192021.0915.51
GoogLeNetBackbone=GoogLeNet2021.0919.09
Human2021.0922.99
Human2021.0922.99