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Benchmarks
Robustness on ImageNet-C
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59.8
mCE
Swin-T + ARM
59.064
64.032
69
73.968
Oct 28, 2021
Nov 4, 2021
Nov 11, 2021
Nov 18, 2021
Nov 25, 2021
Dec 2, 2021
Dec 9, 2021
mCE
Updated 1mo ago
Evaluation Results
Method
Method
Links
mCE
Swin-T + ARM
#Params=28.4M, FLOPs=4.6G
2021.10
59.8
Swin-T
#Params=28.3M, FLOPs=4.5G
2021.10
60.7
PIXMIX
Backbone=ResNet-50, k=...
2021.12
65.8
SIN
Backbone=ResNet-50
2021.12
70.9
AugMix
Backbone=ResNet-50
2021.12
71
Mixup
Backbone=ResNet-50
2021.12
72.7
AA Res-50
#Params=25.6M, FLOPs=4.2G
2021.10
73.4
AutoAugment
Backbone=ResNet-50
2021.12
73.8
Cutout
Backbone=ResNet-50
2021.12
76.9
CutMix
Backbone=ResNet-50
2021.12
77.8
Baseline
Backbone=ResNet-50
2021.12
78.2
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