{"action":"created","issue":{"url":"https://api.github.com/repos/clovaai/CRAFT-pytorch/issues/34","repository_url":"https://api.github.com/repos/clovaai/CRAFT-pytorch","labels_url":"https://api.github.com/repos/clovaai/CRAFT-pytorch/issues/34/labels{/name}","comments_url":"https://api.github.com/repos/clovaai/CRAFT-pytorch/issues/34/comments","events_url":"https://api.github.com/repos/clovaai/CRAFT-pytorch/issues/34/events","html_url":"https://github.com/clovaai/CRAFT-pytorch/issues/34","id":479666566,"node_id":"MDU6SXNzdWU0Nzk2NjY1NjY=","number":34,"title":"[Question] Selection of feature extraction network","user":{"login":"thomasryck","id":37658138,"node_id":"MDQ6VXNlcjM3NjU4MTM4","avatar_url":"https://avatars1.githubusercontent.com/u/37658138?v=4","gravatar_id":"","url":"https://api.github.com/users/thomasryck","html_url":"https://github.com/thomasryck","followers_url":"https://api.github.com/users/thomasryck/followers","following_url":"https://api.github.com/users/thomasryck/following{/other_user}","gists_url":"https://api.github.com/users/thomasryck/gists{/gist_id}","starred_url":"https://api.github.com/users/thomasryck/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/thomasryck/subscriptions","organizations_url":"https://api.github.com/users/thomasryck/orgs","repos_url":"https://api.github.com/users/thomasryck/repos","events_url":"https://api.github.com/users/thomasryck/events{/privacy}","received_events_url":"https://api.github.com/users/thomasryck/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2019-08-12T14:08:12Z","updated_at":"2019-08-24T06:32:32Z","closed_at":"2019-08-24T06:32:32Z","author_association":"NONE","body":"I read the paper and there is no explanation of why did you choose VGG16.\r\n\r\nDid you try other feature extraction networks as ResNet ?\r\n\r\nIf so why did you chose VGG16 ?"},"comment":{"url":"https://api.github.com/repos/clovaai/CRAFT-pytorch/issues/comments/524525473","html_url":"https://github.com/clovaai/CRAFT-pytorch/issues/34#issuecomment-524525473","issue_url":"https://api.github.com/repos/clovaai/CRAFT-pytorch/issues/34","id":524525473,"node_id":"MDEyOklzc3VlQ29tbWVudDUyNDUyNTQ3Mw==","user":{"login":"YoungminBaek","id":13248735,"node_id":"MDQ6VXNlcjEzMjQ4NzM1","avatar_url":"https://avatars2.githubusercontent.com/u/13248735?v=4","gravatar_id":"","url":"https://api.github.com/users/YoungminBaek","html_url":"https://github.com/YoungminBaek","followers_url":"https://api.github.com/users/YoungminBaek/followers","following_url":"https://api.github.com/users/YoungminBaek/following{/other_user}","gists_url":"https://api.github.com/users/YoungminBaek/gists{/gist_id}","starred_url":"https://api.github.com/users/YoungminBaek/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/YoungminBaek/subscriptions","organizations_url":"https://api.github.com/users/YoungminBaek/orgs","repos_url":"https://api.github.com/users/YoungminBaek/repos","events_url":"https://api.github.com/users/YoungminBaek/events{/privacy}","received_events_url":"https://api.github.com/users/YoungminBaek/received_events","type":"User","site_admin":false},"created_at":"2019-08-24T06:32:32Z","updated_at":"2019-08-24T06:32:32Z","author_association":"COLLABORATOR","body":"@thomasryck \r\nThere is no particular reason for choosing VGG16 as backbone.\r\nAs @cong235 said, we thought that VGG-16 was enough for text detection since it doesn't require as many complicated features as object detection requires.\r\n\r\nApart from it, we tested CRAFT with ResNet and PVANet as well, and the perforamnce difference was not significant."}}
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