{"id":34967865,"url":"https://github.com/amusi/daily-paper-computer-vision","last_synced_at":"2025-12-26T23:21:53.838Z","repository":{"id":38864407,"uuid":"133543742","full_name":"amusi/daily-paper-computer-vision","owner":"amusi","description":"记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文","archived":false,"fork":false,"pushed_at":"2023-07-08T08:14:09.000Z","size":1001,"stargazers_count":6238,"open_issues_count":0,"forks_count":1268,"subscribers_count":430,"default_branch":"master","last_synced_at":"2024-08-24T14:36:06.187Z","etag":null,"topics":["computer-vision","deep-learning","face-detection","machine-learning","object-detection","paper"],"latest_commit_sha":null,"homepage":null,"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/amusi.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}},"created_at":"2018-05-15T16:27:19.000Z","updated_at":"2024-08-23T14:05:17.000Z","dependencies_parsed_at":"2023-01-29T13:55:13.053Z","dependency_job_id":null,"html_url":"https://github.com/amusi/daily-paper-computer-vision","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/amusi/daily-paper-computer-vision","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2Fdaily-paper-computer-vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2Fdaily-paper-computer-vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2Fdaily-paper-computer-vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2Fdaily-paper-computer-vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amusi","download_url":"https://codeload.github.com/amusi/daily-paper-computer-vision/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2Fdaily-paper-computer-vision/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28064518,"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","status":"online","status_checked_at":"2025-12-26T02:00:06.189Z","response_time":55,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["computer-vision","deep-learning","face-detection","machine-learning","object-detection","paper"],"created_at":"2025-12-26T23:21:53.331Z","updated_at":"2025-12-26T23:21:53.833Z","avatar_url":"https://github.com/amusi.png","language":null,"funding_links":[],"categories":["📚 Project Purpose"],"sub_categories":["Machine Learning (Interview-Level"],"readme":"# daily-paper-computer-vision\n**记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文**\n\n- [CV 优质论文速递](#PaperDaily)\n- [CV 顶会/顶刊（2017-2023）](#TopPaper)\n\n\u003ca name=\"PaperDaily\"\u003e\u003c/a\u003e\n\n## CV 优质论文速递\n\n- [2023年（日更中）](2023-Paper.md)\n\n为了方便内容沉淀和检索，现已在[【CVer计算机视觉】](https://github.com/amusi/CVPR2023-Papers-with-Code/blob/master/CVer%E5%AD%A6%E6%9C%AF%E4%BA%A4%E6%B5%81%E7%BE%A4.png) 中来完成**CV/AI优质论文、项目和应用速递**的每日更新，欢迎各位 CVer 加入！互相学习，一起进步~\n\n[【CVer计算机视觉】](https://github.com/amusi/CVPR2023-Papers-with-Code/blob/master/CVer%E5%AD%A6%E6%9C%AF%E4%BA%A4%E6%B5%81%E7%BE%A4.png) 是最大的计算机视觉AI知识星球！每日更新！第一时间分享的方向涵盖：目标检测、语义分割、目标跟踪、Transformer、多模态、大模型、NeRF、扩散模型、深度估计、超分辨率、3D目标检测、CNN、GAN、竞赛解决方案、人脸识别、数据增广、人脸检测、数据集、NAS、AutoML、图像分割、SLAM、实例分割、人体姿态估计、视频目标分割、Re-ID、医学图像分割、显著性目标检测、自动驾驶、人群密度估计、PyTorch、人脸、车道线检测、去雾 、全景分割、行人检测、文本检测、OCR、6D姿态估计、 边缘检测、场景文本检测、视频实例分割、3D点云、模型压缩、人脸对齐、超分辨、去噪、强化学习、行为识别、OpenCV、场景文本识别、去雨、机器学习、风格迁移、视频目标检测、去模糊、显著性检测、剪枝、活体检测、人脸关键点检测、3D目标跟踪、视频修复、人脸表情识别、时序动作检测、图像检索、异常检测等\n\n![CVer学术交流群](./CVer学术交流群.png)\n\n\u003ca name=\"TopPaper\"\u003e\u003c/a\u003e\n\n## CV 顶会/顶刊\n\n### 2023\n\n**CVPR 2023**\n\n- 论文列表：https://openaccess.thecvf.com/CVPR2023?day=all\n- 论文和代码：https://github.com/amusi/CVPR2023-Papers-with-Code\n\n**IJCAI 2023**\n\n论文列表：https://ijcai-23.org/main-track-accepted-papers/\n\n**ICLR 2023**\n\n- 论文列表：https://openreview.net/group?id=ICLR.cc/2023/Conference#notable-top-5-\n\n### 2022\n\n**NIPS 2022**\n\n- 论文列表：https://nips.cc/Conferences/2022/Schedule?type=Poster 和 https://openreview.net/group?id=NeurIPS.cc/2022/Conference\n\n**CVPR 2022**\n\n- 论文列表：https://openaccess.thecvf.com/CVPR2022?day=all\n- 论文和代码：https://github.com/amusi/CVPR2023-Papers-with-Code/blob/master/CVPR2022-Papers-with-Code.md\n\n**ECCV 2022**\n\n- 论文列表：https://www.ecva.net/papers.php 和 https://eccv2022.ecva.net/program/accepted-papers/\n\n- 论文和代码：https://github.com/amusi/ECCV2022-Papers-with-Code\n\n**ACM MM 2022**\n\n- 论文列表：https://2022.acmmm.org/accepted-papers/\n\n**WACV 2022**\n\n- 论文列表：https://openaccess.thecvf.com/WACV2023\n\n**MICCAI 2022**\n\n- 论文列表：https://conferences.miccai.org/2022/papers/ 和 https://link.springer.com/book/10.1007/978-3-031-16431-6\n\n**AAAI 2022**\n\n- 论文列表：https://aaai-2022.virtualchair.net/papers.html?filter=keywords\u0026search=Poster+Session+12\u0026cluster=Red+3\n\n**ICLR 2022**\n\n- 论文列表：https://openreview.net/group?id=ICLR.cc/2022/Conference#oral-submissions\n\n### 2021\n\n**ICLR 2021**\n\n- 论文列表：https://docs.google.com/spreadsheets/d/1n58O0lgGI5kI0QQY9f4BDDpNB4oFjb5D51yMr9fHAK4/edit#gid=1546418007\n- OpenReview数据：https://github.com/evanzd/ICLR2021-OpenReviewData\n- [ICLR 2021 Stats \u0026 Graphs](https://github.com/sharonzhou/ICLR2021-Stats)\n\n**AAAI 2021**\n\n- 论文列表：https://aaai.org/Conferences/AAAI-21/wp-content/uploads/2020/12/AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf\n\n**WACV 2021**\n\n- 论文列表：http://wacv2021.thecvf.com/program\n\n### 2020\n\n**CVPR 2020**\n\n- [CVPR 2020所有录用论文清单](http://openaccess.thecvf.com/CVPR2020.py)\n- CVPR 2020论文PDF下载（1467篇论文）：[百度云链接](https://pan.baidu.com/s/1DoPNWXpwEkzQdPOrLsO21w) 密码: te6h\n- [CVPR 2020 论文开源代码合集](https://github.com/amusi/CVPR2020-Code)\n\n**ECCV 2020**\n\n- [ECCV 2020 论文开源代码合集](https://github.com/amusi/ECCV2020-Code)\n\n**NIPS 2020**\n\n- 论文合集：https://neurips.cc/Conferences/2020/AcceptedPapersInitial\n\n- 带代码的论文合集：https://www.paperdigest.org/2020/11/neurips-2020-papers-with-code-data/\n\n**ACM MM 2020**\n\n- 论文合集：https://dblp.org/db/conf/mm/mm2020.html\n- 论文合集：https://2020.acmmm.org/main-track-list.html\n\n**MICCAI 2020**\n\n- 论文合集：https://drive.google.com/drive/folders/1GDKe2raJf4ylWqb1jxGmnsR384kmjYBb?usp=sharing\n\n### 2019\n\n**CVPR 2019**\n\n- [CVPR 2019所有录用论文清单](\u003chttp://openaccess.thecvf.com/CVPR2019.py\u003e) \n- CVPR 2019论文PDF下载（1294篇论文）：[百度云链接](https://pan.baidu.com/s/19ef0HOz4hduDpcEK2PY9Kw ) 密码: mwgv\n- [CVPR 2019 开源代码合集](\u003chttps://github.com/amusi/CVPR2019-Code\u003e)\n\n**ICCV 2019**\n\n- [ICCV 2019所有录用论文清单](\u003chttp://openaccess.thecvf.com/ICCV2019.py\u003e) \n- ICCV 2019论文PDF下载（1075篇论文）：[百度云链接](https://pan.baidu.com/s/1snDhED1Y-6qbV1ImQoYIPA ) 密码: h7c2\n\n**NeurIPS 2019**\n\n- NeurIPS 2019 录用论文名单（1427篇）：[百度云链接](https://pan.baidu.com/s/1TxD263qqXmja3fBZVwtP3g)  密码：04wn \n\n**IJCAI 2019**\n\n- IJCAI 2019所有录用论文清单（847篇）：[百度云链接](https://pan.baidu.com/s/1mVEowSZLBcz3X-_CZt7svA)  密码：v6ps\n\n### 2018\n\n**CVPR 2018**\n\n- [CVPR 2018所有录用论文清单](2018/cvpr2018-paper-list.csv) \n- CVPR 2018论文PDF下载（979篇论文）：[百度云链接](https://pan.baidu.com/s/1lYEM_kkw1PWTkQzUvjG2pw)   密码: 6pgk \n\n**ECCV 2018**\n\n- [ECCV 2018所有录用论文清单](http://openaccess.thecvf.com/ECCV2018.py) \n- ECCV 2018论文PDF下载：[百度云链接](https://pan.baidu.com/s/1Mg0Kw9bepUK6_vqqVSOjNQ)   密码: mh97\n\n### 2017\n\n**CVPR 2017**\n\n- CVPR 2017论文PDF下载：[百度云链接](https://pan.baidu.com/s/1RP1wQBFxs8BT0KBLiukxBw)   密码: hnzg\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famusi%2Fdaily-paper-computer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famusi%2Fdaily-paper-computer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famusi%2Fdaily-paper-computer-vision/lists"}