# prismformore/Multi-Task-Transformer

<https://repo.masters-masters.com/en/repos/prismformore/Multi-Task-Transformer>

[Home](https://repo.masters-masters.com/en) › [prismformore](https://repo.masters-masters.com/en/owners/prismformore) › [Multi-Task-Transformer](https://repo.masters-masters.com/en/repos/prismformore/Multi-Task-Transformer)

prismformore/Multi-Task-Transformer has 327 stars on GitHub. Its RepoMasters card: Alpha tier. Code of ICLR2023 paper "TaskPrompter: Spatial-Channel…

| Field | Value |
| --- | --- |
| Owner | [prismformore](https://repo.masters-masters.com/en/owners/prismformore) |
| Stars | 327 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | computer-vision, deep-learning, depth-estimation, eccv2022, human-parsing, multi-task-learning, nyudv2, pascal, scene-understanding, segmentation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [prismformore/Multi-Task-Transformer](https://github.com/prismformore/Multi-Task-Transformer) |

## Repository

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

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

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