The insights presented in this study can act as a baseline for more advanced investigations into the utility of such loss functions in deep learning-based side-channel analysis.” Find the technical ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...

Addressing these issues, the new LKNet model extends P2PNet’s framework with dynamic receptive field adaptation and a more flexible loss function to improve counting robustness and accuracy. To ...