Chronic Classification (3 classes) on ICBHI challenge dataset 2017 (test)
99.519AccuracyAlexNet
Evaluation results
| Method | Links | |
|---|---|---|
| AlexNetSize (after training)=294MB, Trainable parameters=25.704M, MAdd=725M2020.09 | 99.519 | |
| Proposed modelSize (after training)=44.85MB, Trainable parameters=3.7674M, MAdd=371.93M2020.09 | 99.21 | |
| ShuffleNet (v2)Size (after training)=46.9MB, Trainable parameters=5.4M, MAdd=564M2020.09 | 99.06 | |
| MobileNet (v2)Size (after training)=49MB, Trainable parameters=4.2M, MAdd=575M2020.09 | 98.72 | |
| NASNetSize (after training)=64MB, Trainable parameters=4.2M, MAdd=567M2020.09 | 98.42 | |
| VGG16Size (after training)=1.5GB, Trainable parameters=138M, MAdd=154.7G2020.09 | 97.6 |