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 about a year ago)

Stargazers 855 (1 this week)

Watchers 40 (0 this week)

Forks 49

License other

Ranking

RepositoryStats indexes 579,555 repositories, of these NVlabs/ODISE is ranked #58,614 (90th percentile) for total stargazers, and #53,312 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #9,126/115,123.

NVlabs/ODISE is also tagged with popular topics, for these it's ranked: deep-learning (#1,421/8344), pytorch (#912/5914), semantic-segmentation (#57/507), instance-segmentation (#27/174)

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: 2024-11-07 @ 08:07am, id: 605221864 / R_kgDOJBLz6A