{"id":13958418,"url":"https://github.com/nvlabs/minvis","last_synced_at":"2026-01-30T11:43:21.968Z","repository":{"id":52782724,"uuid":"518701391","full_name":"NVlabs/MinVIS","owner":"NVlabs","description":null,"archived":false,"fork":false,"pushed_at":"2022-09-16T18:03:25.000Z","size":153,"stargazers_count":263,"open_issues_count":7,"forks_count":23,"subscribers_count":5,"default_branch":"main","last_synced_at":"2024-08-09T13:18:55.183Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NVlabs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-07-28T04:37:23.000Z","updated_at":"2024-06-30T11:53:43.000Z","dependencies_parsed_at":"2022-08-13T02:10:12.724Z","dependency_job_id":null,"html_url":"https://github.com/NVlabs/MinVIS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVlabs%2FMinVIS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVlabs%2FMinVIS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVlabs%2FMinVIS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVlabs%2FMinVIS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NVlabs","download_url":"https://codeload.github.com/NVlabs/MinVIS/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226845022,"owners_count":17691143,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-08T13:01:33.230Z","updated_at":"2026-01-30T11:43:21.940Z","avatar_url":"https://github.com/NVlabs.png","language":"Python","funding_links":[],"categories":["对象检测、分割"],"sub_categories":["网络服务_其他"],"readme":"# MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training\n\n[De-An Huang](https://ai.stanford.edu/~dahuang/), [Zhiding Yu](https://chrisding.github.io/), [Anima Anandkumar](http://tensorlab.cms.caltech.edu/users/anima/)\n\n[[`arXiv`](https://arxiv.org/abs/2208.02245)] [[`Project`]()] [[`BibTeX`](#CitingMinVIS)]\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"https://ai.stanford.edu/~dahuang/images/minvis.png\" width=\"100%\" height=\"100%\"/\u003e\n\u003c/div\u003e\n\n### Features\n* Video instance segmentation by only training an image instance segmentation model.\n* Support major video instance segmentation datasets: YouTubeVIS 2019/2021, Occluded VIS (OVIS).\n\n### Qualitative Results on Occluded VIS\n\u003cimg src=\"https://ai.stanford.edu/~dahuang/images/ovis_sheep.gif\" height=\"200\"/\u003e \u003cimg src=\"https://ai.stanford.edu/~dahuang/images/ovis_fish.gif\" height=\"200\"/\u003e\n\n## Installation\n\nSee [installation instructions](INSTALL.md).\n\n## Getting Started\n\nSee [Preparing Datasets for MinVIS](datasets/README.md).\n\nSee [Getting Started with MinVIS](GETTING_STARTED.md).\n\n## Model Zoo\n\nTrained models are available for download in the [MinVIS Model Zoo](MODEL_ZOO.md).\n\n## License\n\nThe majority of MinVIS is made available under the [Nvidia Source Code License-NC](LICENSE). The trained models in the [MinVIS Model Zoo](MODEL_ZOO.md) are made available under the [CC BY-NC-SA 4.0 License](https://creativecommons.org/licenses/by-nc-sa/4.0/).\n\nPortions of the project are available under separate license terms: Mask2Former is licensed under a [MIT License](https://github.com/facebookresearch/Mask2Former/blob/main/LICENSE). Swin-Transformer-Semantic-Segmentation is licensed under the [MIT License](https://github.com/SwinTransformer/Swin-Transformer-Semantic-Segmentation/blob/main/LICENSE), Deformable-DETR is licensed under the [Apache-2.0 License](https://github.com/fundamentalvision/Deformable-DETR/blob/main/LICENSE).\n\n## \u003ca name=\"CitingMinVIS\"\u003e\u003c/a\u003eCiting MinVIS\n\n```BibTeX\n@inproceedings{huang2022minvis,\n  title={MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training},\n  author={De-An Huang and Zhiding Yu and Anima Anandkumar},\n  journal={NeurIPS},\n  year={2022}\n}\n```\n\n## Acknowledgement\n\nThis repo is largely based on Mask2Former (https://github.com/facebookresearch/Mask2Former).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnvlabs%2Fminvis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnvlabs%2Fminvis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnvlabs%2Fminvis/lists"}