---
id: projects
title: MMF Projects
sidebar_label: MMF Projects
---

MMF contains references implementations or has been used to develop following projects (in no particular order):

- Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA [[arXiv](https://arxiv.org/abs/1911.06258)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/m4c)]
- ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks [[arXiv](https://arxiv.org/abs/1908.02265)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/vilbert)]
- Visualbert: A simple and performant baseline for vision and language [[arXiv](https://arxiv.org/abs/1908.03557)] [[project](https://arxiv.org/abs/1908.03557)]
- The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes [[arXiv](https://arxiv.org/abs/2005.04790)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/hateful_memes)]
- Towards VQA Models That Can Read [[arXiv](https://arxiv.org/abs/1904.08920)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/lorra)]
- TextCaps: a Dataset for Image Captioning with Reading Comprehension [[arXiv](https://arxiv.org/abs/2003.12462)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/m4c_captioner)]
- Pythia v0. 1: the winning entry to the vqa challenge 2018 [[arXiv](https://arxiv.org/abs/1807.09956)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/pythia)]
- Bottom-up and top-down attention for image captioning and visual question answering [[arXiv](https://arxiv.org/abs/1707.07998)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/butd)]
- Supervised Multimodal Bitransformers for Classifying Images and Text [[arXiv](https://arxiv.org/abs/1909.02950)] [[project](https://github.com/facebookresearch/mmf/tree/main/projects/mmbt)]
- Are we pretraining it right? Digging deeper into visio-linguistic pretraining [[arXiv](https://arxiv.org/abs/2004.08744)][[project](https://github.com/facebookresearch/mmf/tree/main/projects/pretrain_vl_right)]
