{"action":"created","issue":{"url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition/issues/39","repository_url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition","labels_url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition/issues/39/labels{/name}","comments_url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition/issues/39/comments","events_url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition/issues/39/events","html_url":"https://github.com/jeffreyhuang1/two-stream-action-recognition/issues/39","id":359256622,"node_id":"MDU6SXNzdWUzNTkyNTY2MjI=","number":39,"title":"Improvement on motion-cnn result: 84.1% on split-1, with VGG-16","user":{"login":"gaosh","id":17074174,"node_id":"MDQ6VXNlcjE3MDc0MTc0","avatar_url":"https://avatars3.githubusercontent.com/u/17074174?v=4","gravatar_id":"","url":"https://api.github.com/users/gaosh","html_url":"https://github.com/gaosh","followers_url":"https://api.github.com/users/gaosh/followers","following_url":"https://api.github.com/users/gaosh/following{/other_user}","gists_url":"https://api.github.com/users/gaosh/gists{/gist_id}","starred_url":"https://api.github.com/users/gaosh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gaosh/subscriptions","organizations_url":"https://api.github.com/users/gaosh/orgs","repos_url":"https://api.github.com/users/gaosh/repos","events_url":"https://api.github.com/users/gaosh/events{/privacy}","received_events_url":"https://api.github.com/users/gaosh/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-09-11T23:10:23Z","updated_at":"2018-09-13T19:38:01Z","closed_at":null,"author_association":"NONE","body":"Hi, all\r\n\r\nI did some investigation on why the motion-cnn result is much lower than their original paper. After a simple modification, I am able to achieve 84.1% top-1 accuracy. This modification is adding `transforms.FiveCrop()` to the transformation. Before this modification, the result is only 80.5%.  I use pretrained model from[https://github.com/feichtenhofer/twostreamfusion](url), I think further improvement can be down with `transfroms.TenCrop()`.\r\n\r\nI think with this modification, it can bridge the gap of performance between twostream model trained on pytorch and other frameworks."},"comment":{"url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition/issues/comments/421127223","html_url":"https://github.com/jeffreyhuang1/two-stream-action-recognition/issues/39#issuecomment-421127223","issue_url":"https://api.github.com/repos/jeffreyhuang1/two-stream-action-recognition/issues/39","id":421127223,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMTEyNzIyMw==","user":{"login":"gaosh","id":17074174,"node_id":"MDQ6VXNlcjE3MDc0MTc0","avatar_url":"https://avatars3.githubusercontent.com/u/17074174?v=4","gravatar_id":"","url":"https://api.github.com/users/gaosh","html_url":"https://github.com/gaosh","followers_url":"https://api.github.com/users/gaosh/followers","following_url":"https://api.github.com/users/gaosh/following{/other_user}","gists_url":"https://api.github.com/users/gaosh/gists{/gist_id}","starred_url":"https://api.github.com/users/gaosh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gaosh/subscriptions","organizations_url":"https://api.github.com/users/gaosh/orgs","repos_url":"https://api.github.com/users/gaosh/repos","events_url":"https://api.github.com/users/gaosh/events{/privacy}","received_events_url":"https://api.github.com/users/gaosh/received_events","type":"User","site_admin":false},"created_at":"2018-09-13T19:38:01Z","updated_at":"2018-09-13T19:38:01Z","author_association":"NONE","body":"You should use this data augmentation during training to get desired\nresults.\n\nzhujian <notifications@github.com>于2018年9月13日 周四03:15写道：\n\n> I have some problem about the accuracy , when i only use the center crop\n> (224,224) with sample 25 frames, I can get about 80% on rgb modality , but\n> when I use Five crop or ten crop , my accuracy decreased a lot whatever cnn\n> net like resnet,inceptionv1,inceptionv2 . Can you explain why ?\n>\n> —\n> You are receiving this because you authored the thread.\n> Reply to this email directly, view it on GitHub\n> <https://github.com/jeffreyhuang1/two-stream-action-recognition/issues/39#issuecomment-420907955>,\n> or mute the thread\n> <https://github.com/notifications/unsubscribe-auth/AQSH_idku3ui1Nlmd1uIAvNTvphSV6-rks5uagYFgaJpZM4WkYD8>\n> .\n>\n"}}
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