Medical Image Classification on Nickparvar D1 (test)
99.2AccuracyMAIL-RN50
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MAIL-RN50base network=ResNet50, Params=20.8, Flops=2.182026.02 | 99.2 | 99.1 | 99.2 | |
| MAIL-RN18base network=ResNet18, Params=11.7, Flops=1.842026.02 | 98.8 | 98.6 | 98.9 | |
| DRIFA-NetParams=53.8, Flops=4.832026.02 | 98.4 | 98.4 | 98.7 | |
| MFMSAParams=26.9, Flops=1.42026.02 | 98.3 | 98 | 98.4 | |
| GloriaParams=30.8, Flops=1.542026.02 | 98.1 | 97.5 | 97.9 | |
| MTTU-NetParams=38.1, Flops=6.82026.02 | 97.9 | 98 | 98 | |
| M3AttParams=183, Flops=12.142026.02 | 97.5 | 97.5 | 97.9 | |
| DDA-NetParams=12.1, Flops=1.122026.02 | 96.8 | 96.6 | 97.1 | |
| MuMuParams=56.6, Flops=2.972026.02 | 96.8 | 96.8 | 97.1 | |
| HAMLETParams=57.3, Flops=3.522026.02 | 96.2 | 95.9 | 96.2 | |
| NATParams=20, Flops=1.12026.02 | 95.5 | 95.5 | 95.6 | |
| POTTERParams=12, Flops=0.952026.02 | 95.1 | 94.7 | 94.7 |