Image Classification on CIFAR-10-C CS-3 1.0 (test)
74.31Mean AccuracyDynACL-AIR
Evaluation results
| Method | Links | |
|---|---|---|
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 74.31 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 73.33 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 72.95 | |
| DynACLPre-training=DynACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 72.95 | |
| ACLPre-training=ACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 72.54 | |
| ACLPre-training=ACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 71.78 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 71.38 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 70.16 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 69.55 | |
| ACLPre-training=ACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 69.49 | |
| DynACLPre-training=DynACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 69.01 | |
| DynACLPre-training=DynACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 66.95 |