Image Classification on CIFAR-10-C CS-5 1.0 (test)
66.75Mean AccuracyDynACL-AIR
Evaluation results
| Method | Links | |
|---|---|---|
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 66.75 | |
| DynACLPre-training=DynACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 65.6 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 65.37 | |
| ACLPre-training=ACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 65.27 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 64.28 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 63.29 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 63.17 | |
| ACLPre-training=ACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 62.78 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 62.67 | |
| DynACLPre-training=DynACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 62.51 | |
| ACLPre-training=ACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 61.38 | |
| DynACLPre-training=DynACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 60.87 |