Image Classification 벤치마크
Image Classification on ISIC2018
Accuracy
- 2022-09-21 — HiFuse_Base: Accuracy 84.12
- 2025-02-28 — UniNet: Accuracy 100.0
| Rank | Model | Accuracy | F1 | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | UniNet | 100.0 | 100.0 | UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection | pangdatangtt/UniNet | 2025 |
| 2 | HiFuse_Base | 84.12 | – | HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification | huoxiangzuo/HiFuse | 2022 |
| 3 | HiFuse_Small | 83.59 | – | HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification | huoxiangzuo/HiFuse | 2022 |
| 4 | HiFuse_Tiny | 82.99 | 72.99 | HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification | huoxiangzuo/HiFuse | 2022 |