prismformore / Multi-Task-Transformer

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"

Date Created 2022-07-04 (about a year ago)

Commits 80 (last one 2 months ago)

Stargazers 281 (0 this week)

Watchers 8 (0 this week)

Forks 21

License mit

Ranking

RepositoryStats indexes 534,551 repositories, of these prismformore/Multi-Task-Transformer is ranked #131,800 (75th percentile) for total stargazers, and #236,072 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,234/103,470.

prismformore/Multi-Task-Transformer is also tagged with popular topics, for these it's ranked: deep-learning (#2,767/7827), computer-vision (#926/2820), segmentation (#184/579), pascal (#35/160), depth-estimation (#28/140)

Other Information

prismformore/Multi-Task-Transformer has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 25 closed issues.

All Topics

nyudv2 pascal eccv2022 cityscapes segmentation cityscapes-3d deep-learning human-parsing computer-vision depth-estimation multi-task-learning scene-understanding

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80 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-06-21 @ 06:05am, id: 510169491 / R_kgDOHmiRkw