{"action":"opened","issue":{"url":"https://api.github.com/repos/Engineering-Course/LIP_SSL/issues/32","repository_url":"https://api.github.com/repos/Engineering-Course/LIP_SSL","labels_url":"https://api.github.com/repos/Engineering-Course/LIP_SSL/issues/32/labels{/name}","comments_url":"https://api.github.com/repos/Engineering-Course/LIP_SSL/issues/32/comments","events_url":"https://api.github.com/repos/Engineering-Course/LIP_SSL/issues/32/events","html_url":"https://github.com/Engineering-Course/LIP_SSL/issues/32","id":391578478,"node_id":"MDU6SXNzdWUzOTE1Nzg0Nzg=","number":32,"title":"Test results are consistent with the reported values in the paper ?","user":{"login":"LinaShanghaitech","id":25071183,"node_id":"MDQ6VXNlcjI1MDcxMTgz","avatar_url":"https://avatars3.githubusercontent.com/u/25071183?v=4","gravatar_id":"","url":"https://api.github.com/users/LinaShanghaitech","html_url":"https://github.com/LinaShanghaitech","followers_url":"https://api.github.com/users/LinaShanghaitech/followers","following_url":"https://api.github.com/users/LinaShanghaitech/following{/other_user}","gists_url":"https://api.github.com/users/LinaShanghaitech/gists{/gist_id}","starred_url":"https://api.github.com/users/LinaShanghaitech/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/LinaShanghaitech/subscriptions","organizations_url":"https://api.github.com/users/LinaShanghaitech/orgs","repos_url":"https://api.github.com/users/LinaShanghaitech/repos","events_url":"https://api.github.com/users/LinaShanghaitech/events{/privacy}","received_events_url":"https://api.github.com/users/LinaShanghaitech/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-17T06:48:44Z","updated_at":"2018-12-17T06:48:44Z","closed_at":null,"author_association":"NONE","body":"Hi, I've attempted to test your provided best caffemodel in the validation set. \r\nFollowing the results you reported in SSL,  the overall acc., mean acc. and mIoU should be \r\n84.36%, 54.94%, 44.73%, respectively, but  I used the provided code  and  only got the \r\n82.06%, 51.64%, 40.95%.  Besides, I've also tried other methods (deeplab_v2 , attention without ssl ) according to your training strategies and all of them  get the lower results. Are there any changes to the validation set ?  Thx !\r\n"}}
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