# KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch

<https://repo.masters-masters.com/en/repos/KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch>

[Home](https://repo.masters-masters.com/en) › [KaihuaTang](https://repo.masters-masters.com/en/owners/KaihuaTang) › [VQA2.0-Recent-Approachs-2018.pytorch](https://repo.masters-masters.com/en/repos/KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch)

KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch has 300 stars on GitHub. Its RepoMasters card: Alpha tier. A pytroch reimplementation of "Bilinear Attention…

| Field | Value |
| --- | --- |
| Owner | [KaihuaTang](https://repo.masters-masters.com/en/owners/KaihuaTang) |
| Stars | 300 |
| Forks | 56 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch](https://github.com/KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch) |

## Repository

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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