Image Classification on COVIDx CRX-2 (100 samples)
83.06Mean AccuracyLS+LL
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LS+LLInit.=TF, Parameterization=Equivariant2021.07 | 83.06 | 1.53 | |
| LS+LLInit.=TF, Parameterization=Canonical2021.07 | 82.3 | 1.78 | |
| LS+WRNInit.=TF, Parameterization=Equivariant2021.07 | 81.86 | 2.07 | |
| LS+WRNInit.=TF, Parameterization=Canonical2021.07 | 81.2 | 1.73 | |
| S+LLInit.=TF, Parameterization=Fixed2021.07 | 81.08 | 1.88 | |
| LS+WRNInit.=Rand, Parameterization=Canonical2021.07 | 80.95 | 1.54 | |
| S+WRNInit.=TF, Parameterization=Fixed2021.07 | 80.85 | 1.85 | |
| S+WRNInit.=Rand, Parameterization=Fixed2021.07 | 80.63 | 1.73 | |
| WRN-162021.07 | 80.5 | 1.15 | |
| LS+WRNInit.=Rand, Parameterization=Equivariant2021.07 | 80.12 | 1.76 | |
| LS+LLInit.=Rand, Parameterization=Canonical2021.07 | 76.85 | 1.5 | |
| LS+LLInit.=Rand, Parameterization=Equivariant2021.07 | 76.73 | 1.57 | |
| S+LLInit.=Rand, Parameterization=Fixed2021.07 | 76.08 | 1.56 | |
| ResNet-502021.07 | 74.04 | 1.35 |