Image Classification on CIFAR-100-C CS-1 1.0 (test)
55.31Mean AccuracyDynACL-AIR
Evaluation Results
| Method | Links | |
|---|---|---|
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 55.31 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 55.12 | |
| DynACLPre-training=DynACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 54.34 | |
| ACLPre-training=ACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 53.8 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 47.85 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 45.36 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 44.8 | |
| DynACLPre-training=DynACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 44.19 | |
| ACLPre-training=ACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 43.14 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 42.03 | |
| DynACLPre-training=DynACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 39.83 | |
| ACLPre-training=ACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 39.52 |