{"action":"created","issue":{"url":"https://api.github.com/repos/yun-liu/rcf/issues/57","repository_url":"https://api.github.com/repos/yun-liu/rcf","labels_url":"https://api.github.com/repos/yun-liu/rcf/issues/57/labels{/name}","comments_url":"https://api.github.com/repos/yun-liu/rcf/issues/57/comments","events_url":"https://api.github.com/repos/yun-liu/rcf/issues/57/events","html_url":"https://github.com/yun-liu/rcf/issues/57","id":374735767,"node_id":"MDU6SXNzdWUzNzQ3MzU3Njc=","number":57,"title":"How to apply it in resnet","user":{"login":"quanlzheng","id":34116111,"node_id":"MDQ6VXNlcjM0MTE2MTEx","avatar_url":"https://avatars1.githubusercontent.com/u/34116111?v=4","gravatar_id":"","url":"https://api.github.com/users/quanlzheng","html_url":"https://github.com/quanlzheng","followers_url":"https://api.github.com/users/quanlzheng/followers","following_url":"https://api.github.com/users/quanlzheng/following{/other_user}","gists_url":"https://api.github.com/users/quanlzheng/gists{/gist_id}","starred_url":"https://api.github.com/users/quanlzheng/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/quanlzheng/subscriptions","organizations_url":"https://api.github.com/users/quanlzheng/orgs","repos_url":"https://api.github.com/users/quanlzheng/repos","events_url":"https://api.github.com/users/quanlzheng/events{/privacy}","received_events_url":"https://api.github.com/users/quanlzheng/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-10-28T09:46:07Z","updated_at":"2018-11-01T04:03:50Z","closed_at":null,"author_association":"NONE","body":"Can you give an example to show how to apply it in resnet (eg., resnet101). \r\n\r\nDo you use all the layers ?"},"comment":{"url":"https://api.github.com/repos/yun-liu/rcf/issues/comments/434923973","html_url":"https://github.com/yun-liu/rcf/issues/57#issuecomment-434923973","issue_url":"https://api.github.com/repos/yun-liu/rcf/issues/57","id":434923973,"node_id":"MDEyOklzc3VlQ29tbWVudDQzNDkyMzk3Mw==","user":{"login":"frankie-yanfeng","id":43993736,"node_id":"MDQ6VXNlcjQzOTkzNzM2","avatar_url":"https://avatars0.githubusercontent.com/u/43993736?v=4","gravatar_id":"","url":"https://api.github.com/users/frankie-yanfeng","html_url":"https://github.com/frankie-yanfeng","followers_url":"https://api.github.com/users/frankie-yanfeng/followers","following_url":"https://api.github.com/users/frankie-yanfeng/following{/other_user}","gists_url":"https://api.github.com/users/frankie-yanfeng/gists{/gist_id}","starred_url":"https://api.github.com/users/frankie-yanfeng/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/frankie-yanfeng/subscriptions","organizations_url":"https://api.github.com/users/frankie-yanfeng/orgs","repos_url":"https://api.github.com/users/frankie-yanfeng/repos","events_url":"https://api.github.com/users/frankie-yanfeng/events{/privacy}","received_events_url":"https://api.github.com/users/frankie-yanfeng/received_events","type":"User","site_admin":false},"created_at":"2018-11-01T04:03:50Z","updated_at":"2018-11-01T04:03:50Z","author_association":"NONE","body":"\r\n\r\n\r\n\r\n> Thank you for your question! The code will be released a few days later. For ResNet, we use all the 3x3 conv layers, excluding the 1x1 conv layers. We also change the stride of \"conv1\" layer from 2 to 1. More details will be in the code, and I will inform you here when I'm free to release the code.\r\n\r\nIs the reason of using all the 3x3 conv layers and excluding the 1x1 conv layers in rcf  that ResNet is deep enough? So there is no much requirement for the higher abstraction like 1x1 kernel in later layers?\r\n\r\nAnd the main implementation challenges are how to efficiently utilizing the residual block during deconvolution (conv transpose) and  up-sampling?"}}
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