Image Classification on Ultrahigh Carbon Steel Micrograph DataBase (UHCS) (IR=10, pl=0.1, α=0.1) 1.0 (test)
95.36AccuracySCOPE
Evaluation Results
| Method | Links | |
|---|---|---|
| SCOPEBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 95.36 | |
| SCOPEBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 94.81 | |
| SCOPEBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 94.81 | |
| SCOPEBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 94.54 | |
| Full DBBackbone=Swin-Tiny, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 93.99 | |
| FedCSBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 93.17 | |
| EL2NBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.62 | |
| SCOPEBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.62 | |
| FedCoreBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.35 | |
| RandomBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.08 | |
| GradNDBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.08 | |
| FedCSBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.08 | |
| FedCoreBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 92.08 | |
| RandomBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 91.53 | |
| GradNDBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 91.53 | |
| FedCSBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 91.53 | |
| RandomBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 91.26 | |
| ForgettingBackbone=Swin-Tiny, Pruning rate (pf)=0.1, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 91.26 | |
| ForgettingBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 90.16 | |
| ForgettingBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 89.89 | |
| RandomBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 89.34 | |
| EL2NBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 89.07 | |
| FedCSBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 89.07 | |
| FedCoreBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 89.07 | |
| GradNDBackbone=Swin-Tiny, Pruning rate (pf)=0.3, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 88.52 | |
| EL2NBackbone=Swin-Tiny, Pruning rate (pf)=0.5, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 88.52 | |
| FedCoreBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 86.61 | |
| GradNDBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 86.34 | |
| EL2NBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 85.79 | |
| ForgettingBackbone=Swin-Tiny, Pruning rate (pf)=0.7, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 85.52 | |
| EL2NBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 84.7 | |
| RandomBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 83.33 | |
| GradNDBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 83.33 | |
| FedCSBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 80.33 | |
| ForgettingBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 75.96 | |
| FedCoreBackbone=Swin-Tiny, Pruning rate (pf)=0.9, Imbalance Ratio (IR)=10, pl=0.1, α=0.12026.03 | 71.04 |