Four-class classification on BACH Image-wise (test)
91.85AccuracyMPCS-OP
Evaluation results
| Method | Links | |
|---|---|---|
| MPCS-OPBackbone=ResNet-502022.03 | 91.85 | |
| HNBackbone=Not specified2022.03 | 91.3 | |
| MPCS-RPBackbone=ResNet-502022.03 | 91 | |
| MPCS-FPBackbone=ResNet-502022.03 | 90.55 | |
| ImageNet (re-implement)Backbone=ResNet-502022.03 | 90.5 | |
| PTBackbone=Not specified2022.03 | 90 | |
| DPCLBackbone=Not specified2022.03 | 87 | |
| HNBackbone=ResNet-502022.03 | 81.6 |