Classification on OCTA-500
94.23AccuracyBSDA-Net
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BSDA-NetPretrained (ImageNet)=true2021.07 | 94.23 | 87.68 | |
| BSDA (w/o B, D)Pretrained (ImageNet)=true2021.07 | 92.03 | 82.67 | |
| YNet (ResNeSt50)Pretrained (ImageNet)=true2021.07 | 91.76 | 82.21 | |
| ResNeSt50Pretrained (ImageNet)=true2021.07 | 90.93 | 80.32 | |
| ResNeXt50Pretrained (ImageNet)=true2021.07 | 90.11 | 78.38 | |
| ResNet50Pretrained (ImageNet)=true2021.07 | 89.84 | 77.88 | |
| ResNeSt50Pretrained (ImageNet)=false2021.07 | 89.01 | 76.62 | |
| VGG16Pretrained (ImageNet)=true2021.07 | 86.53 | 72.4 | |
| VGG16Pretrained (ImageNet)=false2021.07 | 84.62 | 64.23 | |
| ResNeXt50Pretrained (ImageNet)=false2021.07 | 82.97 | 62.16 | |
| ResNet50Pretrained (ImageNet)=false2021.07 | 81.59 | 60.01 |