{"id":18612951,"url":"https://github.com/haofanwang/awesome-vision-language-modeling","last_synced_at":"2026-01-30T12:34:10.736Z","repository":{"id":111907926,"uuid":"441369136","full_name":"haofanwang/awesome-vision-language-modeling","owner":"haofanwang","description":"Recent Advances in Vision-Language Pre-training!","archived":false,"fork":false,"pushed_at":"2022-01-10T15:14:05.000Z","size":19,"stargazers_count":29,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-09T08:13:49.919Z","etag":null,"topics":["masked-image-modeling","masked-language-models","pre-training","vision-language"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/haofanwang.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2021-12-24T04:53:32.000Z","updated_at":"2025-02-23T12:27:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"f1f8f45a-2e8a-4938-bf7a-19dc5ac63488","html_url":"https://github.com/haofanwang/awesome-vision-language-modeling","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/haofanwang/awesome-vision-language-modeling","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2Fawesome-vision-language-modeling","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2Fawesome-vision-language-modeling/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2Fawesome-vision-language-modeling/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2Fawesome-vision-language-modeling/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/haofanwang","download_url":"https://codeload.github.com/haofanwang/awesome-vision-language-modeling/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haofanwang%2Fawesome-vision-language-modeling/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28912911,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-30T12:13:43.263Z","status":"ssl_error","status_checked_at":"2026-01-30T12:13:22.389Z","response_time":66,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["masked-image-modeling","masked-language-models","pre-training","vision-language"],"created_at":"2024-11-07T03:19:15.350Z","updated_at":"2026-01-30T12:34:10.717Z","avatar_url":"https://github.com/haofanwang.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# awesome-vision-language-pretraining [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\nAn up-to-date list of vision-language (VL) pre-training paper! Maintained by [Haofan Wang](https://haofanwang.github.io/) (haofanwang.ai@gmail.com).\n\n\n## SSL+Pre-training\n\n[Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text](https://arxiv.org/abs/2112.07074), Google.\n\n[ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation](https://arxiv.org/abs/2112.15283), Baidu.\n\n*[FLAVA: A Foundational Language And Vision Alignment Model](https://arxiv.org/pdf/2112.04482.pdf), Meta AI.\n\n[A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision](https://arxiv.org/abs/2112.13884), Meta AI.\n\n*[SLIP: Self-supervision meets Language-Image Pre-training](https://arxiv.org/abs/2112.12750), [[code](https://github.com/facebookresearch/SLIP)], Meta AI.\n\n*[MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling](https://arxiv.org/abs/2109.12178), Amazon.\n\n*[Data Efficient Masked Language Modeling for Vision and Language](https://arxiv.org/abs/2109.02040), [[code](https://github.com/yonatanbitton/data_efficient_masked_language_modeling_for_vision_and_language)], Ben Gurion University.\n\n[VL-BERT: Pre-training of Generic Visual-Linguistic Representations](https://arxiv.org/abs/1908.08530), [[code](https://github.com/jackroos/VL-BERT)], MSRA.\n\n[Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training](https://arxiv.org/pdf/1908.06066.pdf), [[code](https://github.com/microsoft/Unicoder)], MSRA.\n\n[UNITER: UNiversal Image-TExt Representation Learning](https://arxiv.org/abs/1909.11740), [[code](https://github.com/ChenRocks/UNITER)], Microsoft.\n\n[ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks](https://arxiv.org/abs/1908.02265), [[code](https://github.com/facebookresearch/vilbert-multi-task)], Meta AI.\n\n\n## Masked Image Modeling\n\n[Masked Feature Prediction for Self-Supervised Visual Pre-Training](https://arxiv.org/abs/2112.09133), Meta AI.\n\n[SimMIM: A Simple Framework for Masked Image Modeling](https://arxiv.org/abs/2111.09886), [[code](https://github.com/microsoft/SimMIM)], MSRA.\n\n[PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers](https://arxiv.org/abs/2111.12710), [[code](https://github.com/microsoft/PeCo)], MSRA.\n\n[Masked Autoencoders Are Scalable Vision Learners](https://arxiv.org/pdf/2111.06377.pdf), [[Unofficial code](https://github.com/pengzhiliang/MAE-pytorch)], Meta AI.\n\n[iBOT: Image BERT Pre-Training with Online Tokenizer](https://arxiv.org/abs/2111.07832), [[code](https://github.com/bytedance/ibot)], ByteDance .\n\n[BEiT: BERT Pre-Training of Image Transformers](https://arxiv.org/abs/2106.08254), [[code](https://github.com/microsoft/unilm)], MSRA.\n\n## Masked Language Modeling\n[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805), [[code](https://github.com/google-research/bert)], Google.\n\n## Others\n\n[Align and Prompt: Video-and-Language Pre-training with Entity Prompts](https://arxiv.org/abs/2112.09583), Saleforce.\n\n[FILIP: Fine-grained Interactive Language-Image Pre-Training](https://arxiv.org/pdf/2111.07783.pdf), [[Unofficial code](https://github.com/lucidrains/x-clip)], Huawei.\n\n[LiT: Zero-Shot Transfer with Locked-image Text Tuning](https://arxiv.org/abs/2111.07991), [[Unofficial code](https://github.com/lucidrains/x-clip)], Google.\n\n[Multimodal Few-Shot Learning with Frozen Language Models](https://proceedings.neurips.cc/paper/2021/file/01b7575c38dac42f3cfb7d500438b875-Paper.pdf), DeepMind.\n\n[Prompting Visual-Language Models for Efficient Video Understanding](https://arxiv.org/pdf/2112.04478.pdf), [[code](https://github.com/ju-chen/Efficient-Prompt)], SJTU.\n\n[TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling](https://arxiv.org/abs/2111.03930), [[code](https://github.com/gaopengcuhk/Tip-Adapter)], CUHK.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhaofanwang%2Fawesome-vision-language-modeling","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhaofanwang%2Fawesome-vision-language-modeling","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhaofanwang%2Fawesome-vision-language-modeling/lists"}