{"id":15130053,"url":"https://github.com/extreme-assistant/iccv2023-paper-code-interpretation","last_synced_at":"2026-01-27T01:31:39.916Z","repository":{"id":41567891,"uuid":"178784712","full_name":"extreme-assistant/ICCV2023-Paper-Code-Interpretation","owner":"extreme-assistant","description":"ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理","archived":false,"fork":false,"pushed_at":"2023-09-19T08:24:18.000Z","size":714,"stargazers_count":2298,"open_issues_count":11,"forks_count":1406,"subscribers_count":64,"default_branch":"master","last_synced_at":"2025-03-30T01:04:55.268Z","etag":null,"topics":["action-recognition","computer-vision","deep-learning","iccv2017","iccv2019","iccv2021","image-classification","image-recognition","image-segmentation","machine-learning","object-detection"],"latest_commit_sha":null,"homepage":"https://bbs.cvmart.net","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/extreme-assistant.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}},"created_at":"2019-04-01T04:19:27.000Z","updated_at":"2025-03-26T18:35:54.000Z","dependencies_parsed_at":"2022-08-10T02:50:33.568Z","dependency_job_id":"fe85c94a-4dce-45fe-b6ae-4a6713e89daa","html_url":"https://github.com/extreme-assistant/ICCV2023-Paper-Code-Interpretation","commit_stats":null,"previous_names":["extreme-assistant/iccv2021-paper-code-interpretation"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/extreme-assistant%2FICCV2023-Paper-Code-Interpretation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/extreme-assistant%2FICCV2023-Paper-Code-Interpretation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/extreme-assistant%2FICCV2023-Paper-Code-Interpretation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/extreme-assistant%2FICCV2023-Paper-Code-Interpretation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/extreme-assistant","download_url":"https://codeload.github.com/extreme-assistant/ICCV2023-Paper-Code-Interpretation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247387111,"owners_count":20930776,"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":["action-recognition","computer-vision","deep-learning","iccv2017","iccv2019","iccv2021","image-classification","image-recognition","image-segmentation","machine-learning","object-detection"],"created_at":"2024-09-26T02:28:11.470Z","updated_at":"2026-01-27T01:31:39.875Z","avatar_url":"https://github.com/extreme-assistant.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ICCV2023/ICCV2021/ICCV2019/ICCV2017(Paper/Code/Project/Paper reading)\r\n\r\n1987~2019年历届 ICCV 最佳论文汇总及下载：http://bbs.cvmart.net/articles/909\r\n\u003cbr\u003e\u003cbr\u003e\r\n\r\n# 目录\r\n\r\n[4. ICCV2023论文/代码/直播](#4)\u003cbr\u003e\r\n[3. ICCV2021论文/代码/直播](#3)\u003cbr\u003e\r\n[2. ICCV2019论文/代码/直播](#2)\u003cbr\u003e\r\n[1. ICCV2017/CVPR/NIPS](#1)\u003cbr\u003e\r\n[0. To do list](#todolist)\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\u003cbr\u003e\r\n\u003ca name=\"4\"/\u003e \r\n \r\n# 4. ICCV2023最新论文解读/直播汇总（持续更新中）\r\n* [PaperReading／Demos/直播分享／论文分享会等](https://www.cvmart.net/community/detail/8015)\r\n\r\n\r\n\u003cbr\u003e\r\n\u003ca name=\"3\"/\u003e \r\n\r\n# 3. ICCV2021最新论文分类汇总(持续更新)\r\n* [Papers/Codes/Project/PaperReading／Demos/直播分享／论文分享会等](https://github.com/extreme-assistant/ICCV2021-Paper-Code-Interpretation/blob/master/ICCV2021.md)\r\n* ICCV2021全部论文下载\r\n  * [ICCV2021接收list](https://docs.google.com/spreadsheets/u/1/d/e/2PACX-1vRfaTmsNweuaA0Gjyu58H_Cx56pGwFhcTYII0u1pg0U7MbhlgY0R6Y-BbK3xFhAiwGZ26u3TAtN5MnS/pubhtml)\r\n* ICCV2021论文解读汇总 + 技术直播汇总\r\n* ICCV2021 Oral论文汇总/解读\r\n\r\n\r\n\r\n\u003cbr\u003e\r\n\u003ca name=\"2\"/\u003e \r\n\r\n# 2. ICCV2019论文/代码/直播\r\n\r\nICCV 2019 papers/news\u003cbr\u003e\r\nICCV2019官网：http://iccv2019.thecvf.com/(共收到4303篇投稿，接收1077篇，接受率25.02%）\u003cbr\u003e\r\n会议时间：2019/10/27-2019/11/2\u003cbr\u003e\u003cbr\u003e\r\n\r\n## ICCV2019论文\r\n\r\n* ICCV2019论文下载百度云链接\u003cbr\u003ehttps://pan.baidu.com/s/1yeA8qNkkb92Z0vA-8h2FTg  密码:nynu\u003cbr\u003e\r\n* 论文接收list链接：http://openaccess.thecvf.com/ICCV2019.py \u003cbr\u003e\r\n* ICCV2019论文解读汇总：http://bbs.cvmart.net/topics/447/iccv2019\u003cbr\u003e\r\n* ICCV2019论文分类汇总：http://bbs.cvmart.net/topics/551/iccv2019c\u003cbr\u003e\r\n* ICCV2019论文更新：(感谢 [@chongruo](https://github.com/chongruo) [@wwwzxoe303com](https://github.com/wwwzxoe303com) [@wangg12](https://github.com/wangg12) [@Fangget](https://github.com/FangGet) ) \u003cbr\u003e\u003cbr\u003e\r\n\r\n\r\n## ICCV2019代码\r\n* [ICCV2019全部论文开源源码汇总Excel点这里](https://github.com/extreme-assistant/iccv2019/blob/master/ICCV2019_links.xlsx)\u003cbr\u003e\r\n\r\n## ICCV2019论文直播分享\r\n\r\n* 10月23日晚李夏分享其ICCV Oral回放\u003cbr\u003e\r\n[ICCV 2019 Oral|李夏：语义分割中的自注意力机制和低秩重建，已开源](https://mp.weixin.qq.com/s/R5rLxU0KZP3uDa3nNaV9GQ)\u003cbr\u003e\u003cbr\u003e\r\n\r\n\r\n## Best Paper\r\n\r\n*  ICCV2019最佳论文:SinGAN：Learning a Generative Model From a Single Natural Image\u003cbr\u003e\r\n论文链接：https://arxiv.org/abs/1905.01164\u003cbr\u003e\r\nGitHub链接：https://github.com/tamarott/SinGAN\u003cbr\u003e\r\n论文解读：https://mp.weixin.qq.com/s/LfulmvSgZcXSIa2hQ5qyow\u003cbr\u003e\r\n* ICCV2019 最佳学生论文：PLMP-Point-Line Minimal Problems in Complete Multi-View Visibility\u003cbr\u003e\r\n论文链接：https://arxiv.org/abs/1903.10008\u003cbr\u003e\r\nGitHub链接：https://github.com/timduff35/PLMP\u003cbr\u003e\r\n\r\n\r\n\u003cbr\u003e\r\n\u003ca name=\"1\"/\u003e \r\n\r\n\r\n# 1. ICCV2017/CVPR/NIPS\u003cbr\u003e\r\n* ICCV 2017全部论文及代码链接：https://github.com/extreme-assistant/iccv2019/blob/master/ICCV2017%20paper%26githublinks.xlsx\u003cbr\u003e\r\n* [**ICCV 2017论文解读汇总**](http://bbs.cvmart.net/articles/1024)\u003cbr\u003e\r\n* [**CVPR2019/CVPR2018/CVPR17论文/代码/解读汇总**](https://github.com/extreme-assistant/cvpr2019)\u003cbr\u003e\r\n* [**NIPS2019论文/代码/解读汇总**](https://github.com/extreme-assistant/nips2019)\u003cbr\u003e\u003cbr\u003e\r\n\r\n\u003cbr\u003e\r\n\u003ca name=\"todolist\"/\u003e \r\n\r\n# To do list\u003cbr\u003e\r\n* ICCV2021 论文/代码/解读/直播更新\u003cbr\u003e\r\n* ICCV2021 现场分享视频搬运\u003cbr\u003e\u003cbr\u003e\r\n\r\n# Reference links\u003cbr\u003e\r\nhttps://github.com/amusi/daily-paper-computer-vision\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fextreme-assistant%2Ficcv2023-paper-code-interpretation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fextreme-assistant%2Ficcv2023-paper-code-interpretation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fextreme-assistant%2Ficcv2023-paper-code-interpretation/lists"}