OpenVQA is a general platform for visual question ansering (VQA) research, with implementing state-of-the-art approaches (e.g., BUTD, MFH, BAN and MCAN) on different benchmark datasets like VQA-v2, GQA and CLEVR. Supports for more methods and datasets will be updated continuously.
Getting started and learn more about OpenVQA here.
Supported methods and benchmark datasets are shown in the below table. Results and models are available in MODEL ZOO.
| VQA-v2 | GQA | CLEVR | |
|---|---|---|---|
| BUTD | ✓ | ||
| MFB | ✓ | ||
| MFH | ✓ | ||
| BAN | ✓ | ||
| MCAN | ✓ |
This project is released under the Apache 2.0 license.
This repo is currently maintained by Zhou Yu (@yuzcccc) and Yuhao Cui (@cuiyuhao1996).