payload: {"action":"opened","issue":{"url":"https://api.github.com/repos/yiskw713/paper_summary/issues/48","repository_url":"https://api.github.com/repos/yiskw713/paper_summary","labels_url":"https://api.github.com/repos/yiskw713/paper_summary/issues/48/labels{/name}","comments_url":"https://api.github.com/repos/yiskw713/paper_summary/issues/48/comments","events_url":"https://api.github.com/repos/yiskw713/paper_summary/issues/48/events","html_url":"https://github.com/yiskw713/paper_summary/issues/48","id":415422712,"node_id":"MDU6SXNzdWU0MTU0MjI3MTI=","number":48,"title":"Aggregated Residual Transformations for Deep Neural Networks","user":{"login":"yiskw713","id":38214459,"node_id":"MDQ6VXNlcjM4MjE0NDU5","avatar_url":"https://avatars0.githubusercontent.com/u/38214459?v=4","gravatar_id":"","url":"https://api.github.com/users/yiskw713","html_url":"https://github.com/yiskw713","followers_url":"https://api.github.com/users/yiskw713/followers","following_url":"https://api.github.com/users/yiskw713/following{/other_user}","gists_url":"https://api.github.com/users/yiskw713/gists{/gist_id}","starred_url":"https://api.github.com/users/yiskw713/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yiskw713/subscriptions","organizations_url":"https://api.github.com/users/yiskw713/orgs","repos_url":"https://api.github.com/users/yiskw713/repos","events_url":"https://api.github.com/users/yiskw713/events{/privacy}","received_events_url":"https://api.github.com/users/yiskw713/received_events","type":"User","site_admin":false},"labels":[{"id":1234250107,"node_id":"MDU6TGFiZWwxMjM0MjUwMTA3","url":"https://api.github.com/repos/yiskw713/paper_summary/labels/cnn","name":"cnn","color":"83ce3d","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-02-28T02:51:30Z","updated_at":"2019-02-28T02:51:30Z","closed_at":null,"author_association":"OWNER","body":"# INFO\r\n## author\r\nSaining Xie<sup>1</sup>, Ross Girshick<sup>2</sup>, Piotr Dollar´\r\n<sup>2</sup>, Zhuowen Tu<sup>1</sup>, Kaiming He<sup>2</sup>\r\n\r\n## affiliation\r\n<sup>1</sup>UC San Diego, <sup>2</sup>Facebook AI Research\r\n\r\n## conference or year\r\n2017\r\n\r\n## link\r\n[pdf](https://arxiv.org/pdf/1611.05431.pdf)\r\n[解説](http://zawa.hatenadiary.com/entry/2017/04/27/210637)\r\n\r\n# 概要\r\nResNeXtの提案論文．\r\n\r\n# memo\r\n[grouped convolution](https://www.robotech-note.com/entry/2017/12/29/084349)\r\n\r\n# date\r\nFeb. 28, 2019"}}
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