Image Classification on CIFAR-100 Schematic confusion (test)
21.76AccuracyREFINE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| REFINEBackbone=CNNs2025.05 | 21.76 | 0.8308 | 21.39 | 2 | |
| LinearProbeBackbone=CNNs2025.05 | 20.81 | 0.8316 | 20.06 | 0.6 | |
| DistillBackbone=CNNs2025.05 | 20.06 | 0.8361 | 19.59 | 1 | |
| LoRABackbone=CNNs2025.05 | 20.05 | 0.8246 | 19.53 | 0.6 | |
| AdapterBackbone=CNNs2025.05 | 19.99 | 0.8308 | 18.95 | 0 | |
| NoTransBackbone=CNNs2025.05 | 18.13 | 0.8129 | 17.47 | 1.2 | |
| DANN-GateBackbone=CNNs2025.05 | 17.56 | 0.8122 | 17.2 | 0 |