{"id":13563413,"url":"https://github.com/microsoft/XPretrain","last_synced_at":"2025-04-03T20:30:48.767Z","repository":{"id":39453163,"uuid":"470058025","full_name":"microsoft/XPretrain","owner":"microsoft","description":"Multi-modality pre-training","archived":false,"fork":false,"pushed_at":"2024-05-08T02:03:57.000Z","size":3766,"stargazers_count":489,"open_issues_count":17,"forks_count":37,"subscribers_count":12,"default_branch":"main","last_synced_at":"2025-03-28T20:09:54.433Z","etag":null,"topics":["computer-vision","multimedia","multimodal-learning","nlp","pre-training"],"latest_commit_sha":null,"homepage":"","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/microsoft.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":"SUPPORT.md","governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-03-15T07:56:36.000Z","updated_at":"2025-03-26T05:57:44.000Z","dependencies_parsed_at":"2024-01-14T03:49:04.249Z","dependency_job_id":"3c1315ed-2c25-49f8-b8f5-34dadbf4a260","html_url":"https://github.com/microsoft/XPretrain","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/microsoft%2FXPretrain","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FXPretrain/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FXPretrain/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FXPretrain/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/microsoft","download_url":"https://codeload.github.com/microsoft/XPretrain/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247074330,"owners_count":20879232,"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":["computer-vision","multimedia","multimodal-learning","nlp","pre-training"],"created_at":"2024-08-01T13:01:18.992Z","updated_at":"2025-04-03T20:30:46.564Z","avatar_url":"https://github.com/microsoft.png","language":"Python","funding_links":[],"categories":["Python","Others"],"sub_categories":[],"readme":"# XPretrain\n\nThis repo includes some recent research works in **multi-modality learning**, especially with **pre-training** method from [MSM group](https://www.microsoft.com/en-us/research/group/multimedia-search-and-mining/) of Microsoft Research. \n\n## Multi-modality Learning\n\n### ***** Video \u0026 Language *****\n\n#### Dataset\n\n\u003e [**HD-VILA-100M dataset**](https://github.com/microsoft/XPretrain/tree/main/hd-vila-100m): high-resolution and diversified video-language dataset\n\n#### Pre-training model\n\n\u003e [**HD-VILA (CVPR 2022)**](https://github.com/microsoft/XPretrain/tree/main/hd-vila): high-resolution and diversified video-language pre-training model\n\n\u003e [**LF-VILA (NeurIPS 2022)**](https://github.com/microsoft/XPretrain/tree/main/LF-VILA): long-form video-language pre-training model\n\n\u003e [**CLIP-ViP (ICLR 2023)**](https://github.com/microsoft/XPretrain/tree/main/CLIP-ViP): adapting image-language pre-training to video-language pretraining model\n\n### ***** Image \u0026 Language *****\n\n#### Pre-training model\n\n\u003e [**Pixel-BERT**](https://arxiv.org/pdf/2004.00849.pdf): end-to-end image and language pre-training model\n\n\u003e [**SOHO (CVPR 2021 oral)**](https://github.com/researchmm/soho): improved end-to-end image and language pre-training model with quantized visual tokens\n\n\u003e [**VisualParsing (NeurIPS 2021)**](https://github.com/microsoft/XPretrain/tree/main/visualparsing): Transformer-based end-to-end image and language pre-training model\n\n## News\n- :smiley:**March, 2023: the code of [**CLIP-ViP**](https://github.com/microsoft/XPretrain/tree/main/CLIP-ViP) and [**LF-VILA**](https://github.com/microsoft/XPretrain/tree/main/LF-VILA) was released.**\n- January, 2023: our paper [**CLIP-ViP**](https://github.com/microsoft/XPretrain/tree/main/CLIP-ViP) to adapt image-language pre-training model to video-language pretraining was accepted by ICLR 2023.\n- September, 2022: our paper [**LF-VILA**](https://github.com/microsoft/XPretrain/tree/main/LF-VILA) on long-form video-language pre-training was accepted by NeurIPS 2022. \n- September, 2022: the code of [**HD-VILA**](https://github.com/microsoft/XPretrain/tree/main/hd-vila) was released.\n- March, 2022: [**HD-VILA-100M dataset**](https://github.com/microsoft/XPretrain/tree/main/hd-vila-100m) was released publicly.\n- March, 2022: [**HD-VILA**](https://github.com/microsoft/XPretrain/tree/main/hd-vila) was accepted by CVPR 2022.\n\n\n## Contributing\n\nThis project welcomes contributions and suggestions.  Most contributions require you to agree to a\nContributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us\nthe rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.\n\nWhen you submit a pull request, a CLA bot will automatically determine whether you need to provide\na CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions\nprovided by the bot. You will only need to do this once across all repos using our CLA.\n\nThis project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).\nFor more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or\ncontact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.\n\n## Trademarks\n\nThis project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft \ntrademarks or logos is subject to and must follow \n[Microsoft's Trademark \u0026 Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).\nUse of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.\nAny use of third-party trademarks or logos are subject to those third-party's policies.\n\n## Contact Information\n\nFor help or issues using the pre-trained models, please submit an issue. \nFor other communications, please contact [Bei Liu]() (`bei.liu@microsoft.com`) and [Jianlong Fu]() (`jianf@microsoft.com`).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2FXPretrain","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmicrosoft%2FXPretrain","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2FXPretrain/lists"}