Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools

no code implementations • 17 Jan 2022 • Piero Fraternali, Federico Milani, Rocio Nahime Torres, Niccolò Zangrando

This paper focuses on the application of DNNs to Computer Vision (CV) tasks and presents a survey of the tools that support the black-box performance diagnosis paradigm.

A Data Set and a Convolutional Model for Iconography Classification in Paintings

1 code implementation • 6 Oct 2020 • Federico Milani, Piero Fraternali

Iconography in art is the discipline that studies the visual content of artworks to determine their motifs and themes andto characterize the way these are represented.

General Classification Image Classification