{"action":"opened","issue":{"url":"https://api.github.com/repos/jeong-tae/RACNN-pytorch/issues/4","repository_url":"https://api.github.com/repos/jeong-tae/RACNN-pytorch","labels_url":"https://api.github.com/repos/jeong-tae/RACNN-pytorch/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/jeong-tae/RACNN-pytorch/issues/4/comments","events_url":"https://api.github.com/repos/jeong-tae/RACNN-pytorch/issues/4/events","html_url":"https://github.com/jeong-tae/RACNN-pytorch/issues/4","id":337789405,"node_id":"MDU6SXNzdWUzMzc3ODk0MDU=","number":4,"title":"How should I implement the baseline  with the accuracy 77.9% in VGG19?","user":{"login":"lanfeng4659","id":29145165,"node_id":"MDQ6VXNlcjI5MTQ1MTY1","avatar_url":"https://avatars1.githubusercontent.com/u/29145165?v=4","gravatar_id":"","url":"https://api.github.com/users/lanfeng4659","html_url":"https://github.com/lanfeng4659","followers_url":"https://api.github.com/users/lanfeng4659/followers","following_url":"https://api.github.com/users/lanfeng4659/following{/other_user}","gists_url":"https://api.github.com/users/lanfeng4659/gists{/gist_id}","starred_url":"https://api.github.com/users/lanfeng4659/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lanfeng4659/subscriptions","organizations_url":"https://api.github.com/users/lanfeng4659/orgs","repos_url":"https://api.github.com/users/lanfeng4659/repos","events_url":"https://api.github.com/users/lanfeng4659/events{/privacy}","received_events_url":"https://api.github.com/users/lanfeng4659/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-07-03T08:12:05Z","updated_at":"2018-07-03T08:12:05Z","closed_at":null,"author_association":"NONE","body":"hello, I'm interesting in RACNN too. And I'm writing the baseline with pytorch. however, I get the highest accuracy of 73.18%. so, have you implemented the performance reported in his paper? waiting for your reply. thank you!"}}
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