Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes
Artificial Intelligence
2020-12-15 v1 Computation and Language
Computer Vision and Pattern Recognition
Abstract
This work presents Vilio, an implementation of state-of-the-art visio-linguistic models and their application to the Hateful Memes Dataset. The implemented models have been fitted into a uniform code-base and altered to yield better performance. The goal of Vilio is to provide a user-friendly starting point for any visio-linguistic problem. An ensemble of 5 different V+L models implemented in Vilio achieves 2nd place in the Hateful Memes Challenge out of 3,300 participants. The code is available at https://github.com/Muennighoff/vilio.
Cite
@article{arxiv.2012.07788,
title = {Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes},
author = {Niklas Muennighoff},
journal= {arXiv preprint arXiv:2012.07788},
year = {2020}
}
Comments
Presented at NIPS 2020