Medical Image Classification on KVASIR D9 (test)
92.7AccuracyMAIL-RN50
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MAIL-RN50base network=ResNet50, Params=20.8, Flops=2.182026.02 | 92.7 | 92.2 | 93.5 | |
| MAIL-RN18base network=ResNet18, Params=11.7, Flops=1.842026.02 | 92.3 | 91.6 | 92.3 | |
| DRIFA-NetParams=53.8, Flops=4.832026.02 | 91.9 | 91.1 | 91.7 | |
| POTTERParams=12, Flops=0.952026.02 | 91.5 | 90.7 | 90.9 | |
| MTTU-NetParams=38.1, Flops=6.82026.02 | 91.2 | 90.8 | 91 | |
| MFMSAParams=26.9, Flops=1.42026.02 | 90.9 | 90.5 | 90.7 | |
| M3AttParams=183, Flops=12.142026.02 | 90.9 | 90.5 | 91.2 | |
| DDA-NetParams=12.1, Flops=1.122026.02 | 90.6 | 90.2 | 91.1 | |
| GloriaParams=30.8, Flops=1.542026.02 | 89.6 | 89.1 | 90.2 | |
| NATParams=20, Flops=1.12026.02 | 89.3 | 87.6 | 90.1 | |
| HAMLETParams=57.3, Flops=3.522026.02 | 89.3 | 87.4 | 88.6 | |
| MuMuParams=56.6, Flops=2.972026.02 | 88.4 | 87.3 | 88.1 |