{"action":"created","issue":{"url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch/issues/6","repository_url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch","labels_url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch/issues/6/comments","events_url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch/issues/6/events","html_url":"https://github.com/jwyang/graph-rcnn.pytorch/issues/6","id":369966865,"node_id":"MDU6SXNzdWUzNjk5NjY4NjU=","number":6,"title":"Dataset","user":{"login":"sim-l3","id":25875086,"node_id":"MDQ6VXNlcjI1ODc1MDg2","avatar_url":"https://avatars1.githubusercontent.com/u/25875086?v=4","gravatar_id":"","url":"https://api.github.com/users/sim-l3","html_url":"https://github.com/sim-l3","followers_url":"https://api.github.com/users/sim-l3/followers","following_url":"https://api.github.com/users/sim-l3/following{/other_user}","gists_url":"https://api.github.com/users/sim-l3/gists{/gist_id}","starred_url":"https://api.github.com/users/sim-l3/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sim-l3/subscriptions","organizations_url":"https://api.github.com/users/sim-l3/orgs","repos_url":"https://api.github.com/users/sim-l3/repos","events_url":"https://api.github.com/users/sim-l3/events{/privacy}","received_events_url":"https://api.github.com/users/sim-l3/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-15T01:26:24Z","updated_at":"2018-10-25T08:58:37Z","closed_at":null,"author_association":"NONE","body":"I am wondering whether the dataset you used is the same as the IMP or not. I mean you have not done any further cleaning procedure for the VG-IMP, but just directly used the cleaning version borrowed from IMP. Furthermore, According to your experiment result in Table 2, although the reimplemented IMP, MSDN can achieve a better performance in SGGEN and PhrCls, the PredCls performance is downgraded with 8%. Could you help me to figure it out? "},"comment":{"url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch/issues/comments/432970996","html_url":"https://github.com/jwyang/graph-rcnn.pytorch/issues/6#issuecomment-432970996","issue_url":"https://api.github.com/repos/jwyang/graph-rcnn.pytorch/issues/6","id":432970996,"node_id":"MDEyOklzc3VlQ29tbWVudDQzMjk3MDk5Ng==","user":{"login":"wtliao","id":4618954,"node_id":"MDQ6VXNlcjQ2MTg5NTQ=","avatar_url":"https://avatars0.githubusercontent.com/u/4618954?v=4","gravatar_id":"","url":"https://api.github.com/users/wtliao","html_url":"https://github.com/wtliao","followers_url":"https://api.github.com/users/wtliao/followers","following_url":"https://api.github.com/users/wtliao/following{/other_user}","gists_url":"https://api.github.com/users/wtliao/gists{/gist_id}","starred_url":"https://api.github.com/users/wtliao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wtliao/subscriptions","organizations_url":"https://api.github.com/users/wtliao/orgs","repos_url":"https://api.github.com/users/wtliao/repos","events_url":"https://api.github.com/users/wtliao/events{/privacy}","received_events_url":"https://api.github.com/users/wtliao/received_events","type":"User","site_admin":false},"created_at":"2018-10-25T08:58:37Z","updated_at":"2018-10-25T08:58:37Z","author_association":"NONE","body":"I am also not clear about the exp results in table2. In the tab2 caption you also mention that the test set is from [14], so what's the different from [40]IMP.\r\nI feel puzzel about the significant improvement from MSDN to MSDN+ in PhrCls but MSDN+ has worse SGGen and expecially PredCls."}}
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