{"action":"created","issue":{"url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception/issues/84","repository_url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception","labels_url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception/issues/84/labels{/name}","comments_url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception/issues/84/comments","events_url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception/issues/84/events","html_url":"https://github.com/jfzhang95/pytorch-deeplab-xception/issues/84","id":439852473,"node_id":"MDU6SXNzdWU0Mzk4NTI0NzM=","number":84,"title":"reproduced result is low on ResNet backbone","user":{"login":"youngwanLEE","id":13238578,"node_id":"MDQ6VXNlcjEzMjM4NTc4","avatar_url":"https://avatars1.githubusercontent.com/u/13238578?v=4","gravatar_id":"","url":"https://api.github.com/users/youngwanLEE","html_url":"https://github.com/youngwanLEE","followers_url":"https://api.github.com/users/youngwanLEE/followers","following_url":"https://api.github.com/users/youngwanLEE/following{/other_user}","gists_url":"https://api.github.com/users/youngwanLEE/gists{/gist_id}","starred_url":"https://api.github.com/users/youngwanLEE/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/youngwanLEE/subscriptions","organizations_url":"https://api.github.com/users/youngwanLEE/orgs","repos_url":"https://api.github.com/users/youngwanLEE/repos","events_url":"https://api.github.com/users/youngwanLEE/events{/privacy}","received_events_url":"https://api.github.com/users/youngwanLEE/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":19,"created_at":"2019-05-03T01:40:27Z","updated_at":"2019-10-29T08:09:01Z","closed_at":null,"author_association":"NONE","body":"I tried to reproduce the result(78.43%) of ResNet backbone in README.MD just by using [this command](https://github.com/jfzhang95/pytorch-deeplab-xception/blob/master/train_voc.sh).\r\n\r\nOf course, I prepared for SBD dataset and train the model on VOC2012 + SBD. \r\n\r\nThen, my result (75.06) is lower than the reported one.  How can I  get the reported result?\r\n\r\nIs the reported result(78.43%) fine-tuned result after coco pre-training? \r\n\r\nBy the way, weird things were shown in the Tensorboard. while train loss converged, validation loss increased. \r\n\r\n![image](https://user-images.githubusercontent.com/13238578/57116235-ce927880-6d8e-11e9-91ea-c13d73ccef98.png)\r\n"},"comment":{"url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception/issues/comments/547303484","html_url":"https://github.com/jfzhang95/pytorch-deeplab-xception/issues/84#issuecomment-547303484","issue_url":"https://api.github.com/repos/jfzhang95/pytorch-deeplab-xception/issues/84","id":547303484,"node_id":"MDEyOklzc3VlQ29tbWVudDU0NzMwMzQ4NA==","user":{"login":"GuoleiSun","id":22496918,"node_id":"MDQ6VXNlcjIyNDk2OTE4","avatar_url":"https://avatars3.githubusercontent.com/u/22496918?v=4","gravatar_id":"","url":"https://api.github.com/users/GuoleiSun","html_url":"https://github.com/GuoleiSun","followers_url":"https://api.github.com/users/GuoleiSun/followers","following_url":"https://api.github.com/users/GuoleiSun/following{/other_user}","gists_url":"https://api.github.com/users/GuoleiSun/gists{/gist_id}","starred_url":"https://api.github.com/users/GuoleiSun/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GuoleiSun/subscriptions","organizations_url":"https://api.github.com/users/GuoleiSun/orgs","repos_url":"https://api.github.com/users/GuoleiSun/repos","events_url":"https://api.github.com/users/GuoleiSun/events{/privacy}","received_events_url":"https://api.github.com/users/GuoleiSun/received_events","type":"User","site_admin":false},"created_at":"2019-10-29T08:09:01Z","updated_at":"2019-10-29T08:09:01Z","author_association":"NONE","body":"Hi guys,\r\n\r\nFor those who want to reproduce results on deeplab V3, I recommend this code: https://github.com/chenxi116/DeepLabv3.pytorch\r\nThe code can simply reproduce 76.8% mIOU in Pascal val (trained on VOC2012 + SBD)."}}
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