Revision a13040b79f91e70b61a2538edf7507bac9f3a428 authored by Shaoliang Nie on 30 June 2021, 20:17:24 UTC, committed by Facebook GitHub Bot on 30 June 2021, 20:18:41 UTC
Summary: Default format requires a "version" and "resource" field. Reviewed By: vedanuj Differential Revision: D29493693 fbshipit-source-id: ac519b48b909a6e3b13fbc70a7e55ddfe6c623ed
1 parent b771f97
README.md
# LoRRA
This repository contains the code for LoRRA model. Please cite the following paper if you are using LoRRA model from mmf:
* Singh, A., Natarajan, V., Shah, M., Jiang, Y., Chen, X., Batra, D., ... & Rohrbach, M. (2019). *Towards vqa models that can read*. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 8317-8326). ([arXiV](https://arxiv.org/abs/1904.08920))
```
@inproceedings{singh2019TowardsVM,
title={Towards VQA Models That Can Read},
author={Singh, Amanpreet and Natarajan, Vivek and Shah, Meet and Jiang, Yu and Chen, Xinlei and Batra, Dhruv and Parikh, Devi and Rohrbach, Marcus},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2019}
}
```
## Installation
Follow installation instructions in the [documentation](https://mmf.readthedocs.io/en/latest/notes/installation.html)
## Training
To train LoRRA model on the TextVQA dataset, run the following command
```
mmf_run config=projects/lorra/configs/textvqa/defaults.yaml run_type=train_val dataset=textvqa model=lorra
```
![swh spinner](/static/img/swh-spinner.gif)
Computing file changes ...