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ResearchFormerly WizWand

Image Classification on CIFAR-10-C CS-1 1.0 (test)

80.98Mean AccuracyDynACL-AIR
71.370473.865276.3678.8548Apr 30, 2023
Updated 8mo ago

Evaluation results

MethodLinks
DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.0480.98
DynACLPre-training=DynACL, Finetuning procedure=AFF, Backbone=ResNet-182023.0479.77
ACL-AIRPre-training=ACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.0479.49
ACLPre-training=ACL, Finetuning procedure=AFF, Backbone=ResNet-182023.0479.15
ACL-AIRPre-training=ACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.0478.55
ACL-AIRPre-training=ACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.0476.65
DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.0476.62
ACLPre-training=ACL, Finetuning procedure=SLF, Backbone=ResNet-182023.0476.57
DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.0475.7
ACLPre-training=ACL, Finetuning procedure=ALF, Backbone=ResNet-182023.0474.04
DynACLPre-training=DynACL, Finetuning procedure=SLF, Backbone=ResNet-182023.0473.92
DynACLPre-training=DynACL, Finetuning procedure=ALF, Backbone=ResNet-182023.0471.74