Python-用于跨模态检索的自监督对抗哈希网络

上传者: 39840515 | 上传时间: 2021-03-02 20:21:41 | 文件大小: 1.13MB | 文件类型: ZIP
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval(CVPR2018)

文件下载

资源详情

[{"title":"( 14 个子文件 1.13MB ) Python-用于跨模态检索的自监督对抗哈希网络","children":[{"title":"SSAH-master","children":[{"title":"fig","children":[{"title":"map_.png <span style='color:#111;'> 986.18KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1B </span>","children":null,"spread":false}],"spread":true},{"title":"utils","children":[{"title":"calc_hammingranking.py <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"__init__.pyc <span style='color:#111;'> 133B </span>","children":null,"spread":false}],"spread":true},{"title":"ops.py <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"setting.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.96KB </span>","children":null,"spread":false},{"title":"Main.py <span style='color:#111;'> 522B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"data.md <span style='color:#111;'> 169B </span>","children":null,"spread":false}],"spread":true},{"title":"SSAH.py <span style='color:#111;'> 28.03KB </span>","children":null,"spread":false},{"title":"tnet.py <span style='color:#111;'> 10.54KB </span>","children":null,"spread":false},{"title":"Framework.pdf <span style='color:#111;'> 66.70KB </span>","children":null,"spread":false},{"title":"SSAH.png <span style='color:#111;'> 243.54KB </span>","children":null,"spread":false},{"title":"load_data.py <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明