# linjieli222/HERO

<https://repo.masters-masters.com/en/repos/linjieli222/HERO>

[Home](https://repo.masters-masters.com/en) › [linjieli222](https://repo.masters-masters.com/en/owners/linjieli222) › [HERO](https://repo.masters-masters.com/en/repos/linjieli222/HERO)

linjieli222/HERO has 235 stars on GitHub. Its RepoMasters card: Prototype tier. Research code for EMNLP 2020 paper "HERO: Hierarchical Encoder for…

| Field | Value |
| --- | --- |
| Owner | [linjieli222](https://repo.masters-masters.com/en/owners/linjieli222) |
| Stars | 235 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | pytorch, transformers, vision-and-language, pretraining, tvr |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [linjieli222/HERO](https://github.com/linjieli222/HERO) |

## Repository

Research code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by linjieli222

- [linjieli222/VQA\_ReGAT · ★ 188 · Python · Prototype](https://repo.masters-masters.com/en/repos/linjieli222/VQA_ReGAT)
- [linjieli222/HERO\_Video\_Feature\_Extractor · ★ 119 · Python · Prototype](https://repo.masters-masters.com/en/repos/linjieli222/HERO_Video_Feature_Extractor)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
