Champagne Taste on a Beer Budget: Better Budget Utilisation in Multi-label Adversarial Attacks

Abstract—Multi-label classification is an important branch of classification problems as in many real world classification scenarios an object can belong to multiple classes simultaneously. Deep learning based classifiers perform well at image classifica- tion but their predictions have shown to be unstable when subject to small input...

The Current State of the Art in Multi-Label Image Classification Applied on LEGO Bricks

This paper shows how the current state of the art in image classification performs on LEGO bricks. Currently the standard image classification models with deep learning are single label image classifiers. In this paper we will convert them to work on multi-label images and subsequently evaluate how well they perform. We show how well the...