Fig. 2: Training process analysis and model performance.
From: Real-time detection of respiratory circuit events in mechanical ventilation using deep learning
The top row shows the stable descending trends in key loss function curves over training epochs, including training bounding box loss, training distribution focal loss, training classification loss, validation bounding box loss, and validation classification loss. The training process analysis indicates the model approached convergence without overfitting. The bottom row demonstrates improved model performance, with recall, precision, mAP@50, and mAP@50-95 all reaching consistently high levels. Solid lines indicate raw training results, while dashed lines represent smoothed trends.
