Image Classification on KTH-TIPS2
69.23Mean AccuracyLS+WRN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LS+WRNInit.=TF, Parameterization=Canonical2021.07 | 69.23 | 0.67 | |
| S+WRNInit.=TF, Parameterization=Fixed2021.07 | 68.84 | 0.71 | |
| LS+WRNInit.=TF, Parameterization=Equivariant2021.07 | 68.55 | 0.8 | |
| LS+WRNInit.=Rand, Parameterization=Canonical2021.07 | 68.3 | 0.47 | |
| LS+WRNInit.=Rand, Parameterization=Equivariant2021.07 | 67.5 | 0.72 | |
| LS+LLInit.=TF, Parameterization=Equivariant2021.07 | 66.41 | 1.24 | |
| S+WRNInit.=Rand, Parameterization=Fixed2021.07 | 66.29 | 0.36 | |
| S+LLInit.=TF, Parameterization=Fixed2021.07 | 66.17 | 1.1 | |
| LS+LLInit.=TF, Parameterization=Canonical2021.07 | 66.09 | 1.05 | |
| LS+LLInit.=Rand, Parameterization=Canonical2021.07 | 65.79 | 0.85 | |
| LS+LLInit.=Rand, Parameterization=Equivariant2021.07 | 65.31 | 1.42 | |
| S+LLInit.=Rand, Parameterization=Fixed2021.07 | 61.37 | 0.82 | |
| WRN-162021.07 | 51.24 | 1.37 | |
| ResNet-502021.07 | 44.95 | 0.65 |