Image Classification on QaTa-Cov19 (test)
82Bacterial AccuracyCRC
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CRCComputation time (sec)=40.78782020.05 | 82 | 82.7 | 92.8 | 95.5 | 75.8 | 55 | 92.2 | 96.8 | 86.9 | 91.3 | 93 | 95.4 | |
| CSEN2Number of trainable parameters=16,297, Computation time (sec)=0.22722020.05 | 79.4 | 80.3 | 92.7 | 95.9 | 65.9 | 64.6 | 90.4 | 98.5 | 90 | 85.2 | 93.4 | 95.7 | |
| CSEN1Number of trainable parameters=11,089, Computation time (sec)=0.21962020.05 | 79.3 | 80.5 | 92.6 | 95.5 | 65.6 | 64.2 | 90.6 | 98.5 | 90.1 | 85.6 | 93.2 | 95.3 | |
| NN2020.05 | 77.7 | 80.1 | 90.3 | 95 | 62.3 | 61.2 | 89.9 | 96.5 | 89.8 | 85.9 | 90.4 | 94.9 | |
| SVM2020.05 | 77.1 | 78.8 | 92.8 | 92.8 | 58.6 | 63.2 | 91.1 | 98.1 | 91.6 | 83.7 | 93.3 | 92.4 | |
| ReconNETNumber of trainable parameters=22,914, Computation time (sec)=0.29932020.05 | 76.5 | 78.5 | 91.8 | 93.6 | 59 | 62.5 | 89.1 | 97 | 90.2 | 83.4 | 92.7 | 93.3 | |
| MLPNumber of trainable parameters=672,836, Computation time (sec)=0.29352020.05 | 76.1 | 76.5 | 92.3 | 94.7 | 62 | 56.1 | 88.5 | 96.5 | 87.2 | 82.8 | 93.6 | 94.6 |