List your company

Image Classification on CIFAR100 original (test)

87.91AccuracyVanilla
78.123680.664383.20585.7457Feb 22, 2021Jul 30, 2021Jan 5, 2022Jun 13, 2022Nov 18, 2022Apr 26, 2023Oct 2, 2023

Evaluation results

MethodLinks
VanillaBackbone=ViT-Base, Pre-training=ImageNet-1K2023.1087.91————
ResNet-152Backbone=ResNet-1522021.0287.6-3.167-2.981.133—
ResNet-101Backbone=ResNet-1012021.0287-3.33-3.1121.13—
Inception v3Backbone=Inception v32021.0286.6-4.1-3.4471.07—
DenseNet-201Backbone=DenseNet-2012021.0286-3.643-3.3231.061—
VanillaBackbone=ResNet50, Pre-training=ImageNet-1K2023.1085.84————
DenseNet-169Backbone=DenseNet-1692021.0285-3.525-3.3131.051—
DenseNet-121Backbone=DenseNet-1212021.0284.8-3.715-3.3041.029—
ResNet-50Backbone=ResNet-502021.0284.5-3.52-3.2411.099—
Prior-Regularized LCBackbone=ViT-Base, Pre-training=ImageNet-1K2023.1084.27————
NASNet-A MobileBackbone=NASNet-A Mobile2021.0283.9-3.56-3.2541.051—
C8-Aug.Backbone=ViT-Base, Pre-training=ImageNet-1K2023.1083.45————
Prior-Regularized LCBackbone=ResNet50, Pre-training=ImageNet-1K2023.1083.44————
Inception v1Backbone=Inception v12021.0283.2-4.279-3.2531.037—
C8-Aug.Backbone=ResNet50, Pre-training=ImageNet-1K2023.1083————
Rotation AugmentationBackbone=ViT-Base, Pre-training=ImageNet-1K2023.1082.59————
Learned Canonicalization (LC)Backbone=ViT-Base, Pre-training=ImageNet-1K2023.1080.86————
MobileNet v2Backbone=MobileNet v22021.0280.8-3.733-3.3361.039—
Rotation AugmentationBackbone=ResNet50, Pre-training=ImageNet-1K2023.1080.21————
Learned Canonicalization (LC)Backbone=ResNet50, Pre-training=ImageNet-1K2023.1078.5————
LEEPtype=correlation_summary2021.02————0.61
LogMEtype=correlation_summary2021.02————0.79
NCEtype=correlation_summary2021.02————0.44