Medical Image Classification on Medical VLM Average
55.2ACASCA-T
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SCA-TScore Function=LAC, Alpha=0.1, T↓=1.04, GPU↓=0.62025.06 | 55.2 | 89.8 | 3.3 | 7.47 | |
| SCA-TScore Function=APS, Alpha=0.1, T↓=1.15, GPU↓=0.62025.06 | 55.2 | 90 | 3.35 | 7.18 | |
| TransCLIPScore Function=LAC, Alpha=0.1, T↓=0.47, GPU↓=1.12025.06 | 54.8 | 72.6 | 2.16 | 22.31 | |
| TransCLIPScore Function=APS, Alpha=0.1, T↓=0.4, GPU↓=1.12025.06 | 54.8 | 73.3 | 2.52 | 21.78 | |
| TIMScore Function=LAC, Alpha=0.1, T↓=1.12, GPU↓=0.62025.06 | 53.5 | 88.8 | 3.96 | 8.08 | |
| TIMScore Function=APS, Alpha=0.1, T↓=1.18, GPU↓=0.62025.06 | 53.5 | 88.7 | 3.16 | 7.47 | |
| LACScore Function=LAC, Alpha=0.1, T↓=02025.06 | 50.1 | 89.4 | 4 | 8.92 | |
| APSScore Function=APS, Alpha=0.1, T↓=02025.06 | 50.1 | 89.6 | 4.05 | 8.69 |