{"action":"opened","issue":{"url":"https://api.github.com/repos/sfzhang15/RefineDet/issues/108","repository_url":"https://api.github.com/repos/sfzhang15/RefineDet","labels_url":"https://api.github.com/repos/sfzhang15/RefineDet/issues/108/labels{/name}","comments_url":"https://api.github.com/repos/sfzhang15/RefineDet/issues/108/comments","events_url":"https://api.github.com/repos/sfzhang15/RefineDet/issues/108/events","html_url":"https://github.com/sfzhang15/RefineDet/issues/108","id":350771310,"node_id":"MDU6SXNzdWUzNTA3NzEzMTA=","number":108,"title":"Lighter backbone network model？","user":{"login":"ymchen7","id":25624964,"node_id":"MDQ6VXNlcjI1NjI0OTY0","avatar_url":"https://avatars0.githubusercontent.com/u/25624964?v=4","gravatar_id":"","url":"https://api.github.com/users/ymchen7","html_url":"https://github.com/ymchen7","followers_url":"https://api.github.com/users/ymchen7/followers","following_url":"https://api.github.com/users/ymchen7/following{/other_user}","gists_url":"https://api.github.com/users/ymchen7/gists{/gist_id}","starred_url":"https://api.github.com/users/ymchen7/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ymchen7/subscriptions","organizations_url":"https://api.github.com/users/ymchen7/orgs","repos_url":"https://api.github.com/users/ymchen7/repos","events_url":"https://api.github.com/users/ymchen7/events{/privacy}","received_events_url":"https://api.github.com/users/ymchen7/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-15T11:10:03Z","updated_at":"2018-08-15T11:10:03Z","closed_at":null,"author_association":"NONE","body":"Hi, Shifeng\r\n\r\nFirstly, thanks for sharing this solid work. As you mentioned that the digits reported are trained with 4 M40(24GB). Since I only got 2 M40(12GB), the batchsize is limited to reach a good convergence. Have you trained using a lighter backbone, e.g. Res18/50?  Is the performance deteriorated?"}}
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