NVlabs / ODISE

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

Date Created 2023-02-22 (about a year ago)

Commits 19 (last one 11 months ago)

Stargazers 822 (1 this week)

Watchers 40 (0 this week)

Forks 43

License other

Ranking

RepositoryStats indexes 534,880 repositories, of these NVlabs/ODISE is ranked #58,111 (89th percentile) for total stargazers, and #52,719 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,897/103,597.

NVlabs/ODISE is also tagged with popular topics, for these it's ranked: deep-learning (#1,408/7826), pytorch (#900/5590), semantic-segmentation (#57/474), instance-segmentation (#28/166)

Other Information

NVlabs/ODISE has Github issues enabled, there are 31 open issues and 11 closed issues.

There have been 1 release, the latest one was published on 2023-03-23 (about a year ago) with the name Pre-trained ODISE Models.

Homepage URL: https://arxiv.org/abs/2303.04803

All Topics

pytorch deep-learning open-vocabulary diffusion-models zero-shot-learning text-image-retrieval instance-segmentation panoptic-segmentation semantic-segmentation open-world-classification open-world-object-detection open-vocabulary-segmentation open-vocabulary-semantic-segmentation

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

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

updated: 2024-06-29 @ 07:51am, id: 605221864 / R_kgDOJBLz6A