Classification on OCTAGON
99.53AccuracyBSDA-Net
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BSDA-NetPretrained (ImageNet)=true2021.07 | 99.53 | 98.92 | |
| ResNet50Pretrained (ImageNet)=true2021.07 | 97.65 | 94.58 | |
| BSDA (w/o B, D)Pretrained (ImageNet)=true2021.07 | 97.65 | 94.58 | |
| ResNeSt50Pretrained (ImageNet)=true2021.07 | 96.71 | 92.53 | |
| YNet (ResNeSt50)Pretrained (ImageNet)=true2021.07 | 96.71 | 92.53 | |
| VGG16Pretrained (ImageNet)=true2021.07 | 96.24 | 91.55 | |
| ResNeXt50Pretrained (ImageNet)=true2021.07 | 96.24 | 91.29 | |
| ResNeSt50Pretrained (ImageNet)=false2021.07 | 95.77 | 90.32 | |
| VGG16Pretrained (ImageNet)=false2021.07 | 95.31 | 89.36 | |
| ResNet50Pretrained (ImageNet)=false2021.07 | 90.61 | 78.23 | |
| ResNeXt50Pretrained (ImageNet)=false2021.07 | 87.79 | 71.92 |