Weighted Hausdorff Distance Loss as a Function of Different Metrics in Convolutional Neural Networks for Ladybird Beetle Detection

Conference Object

Abstract: This work compares five different distance metrics (i.e., Euclidean, Chebyshev, Manhattan, Mahalanob

Palabras claves:

deep learning, fully convolutional neural network, heat map, Ladybird beetle detection, weighted Hausdorff distance

Autores:

Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Giovanni M. Ramón-Cabrera, Mateo Vega, Noel Perez

Fuentes:

scopus