Image Classification on CIFAR-10-C CS-1 1.0 (test)
80.98Mean AccuracyDynACL-AIR
Evaluation Results
| Method | Links | |
|---|---|---|
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 80.98 | |
| DynACLPre-training=DynACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 79.77 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 79.49 | |
| ACLPre-training=ACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 79.15 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 78.55 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 76.65 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 76.62 | |
| ACLPre-training=ACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 76.57 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 75.7 | |
| ACLPre-training=ACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 74.04 | |
| DynACLPre-training=DynACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 73.92 | |
| DynACLPre-training=DynACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 71.74 |