{"action":"created","issue":{"url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch/issues/10","repository_url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch","labels_url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch/issues/10/labels{/name}","comments_url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch/issues/10/comments","events_url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch/issues/10/events","html_url":"https://github.com/zwx8981/DBCNN-PyTorch/issues/10","id":499850376,"node_id":"MDU6SXNzdWU0OTk4NTAzNzY=","number":10,"title":"Have you tried some lightweight net in ImageNet replacing VGG-16?","user":{"login":"shenguquanxin","id":41544155,"node_id":"MDQ6VXNlcjQxNTQ0MTU1","avatar_url":"https://avatars2.githubusercontent.com/u/41544155?v=4","gravatar_id":"","url":"https://api.github.com/users/shenguquanxin","html_url":"https://github.com/shenguquanxin","followers_url":"https://api.github.com/users/shenguquanxin/followers","following_url":"https://api.github.com/users/shenguquanxin/following{/other_user}","gists_url":"https://api.github.com/users/shenguquanxin/gists{/gist_id}","starred_url":"https://api.github.com/users/shenguquanxin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/shenguquanxin/subscriptions","organizations_url":"https://api.github.com/users/shenguquanxin/orgs","repos_url":"https://api.github.com/users/shenguquanxin/repos","events_url":"https://api.github.com/users/shenguquanxin/events{/privacy}","received_events_url":"https://api.github.com/users/shenguquanxin/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2019-09-29T03:21:14Z","updated_at":"2019-09-29T10:04:44Z","closed_at":null,"author_association":"NONE","body":"Good work,Thanks for sharing!!! And I have some questiones:\r\n1 、Have you tried some lightweight net in ImageNet replacing VGG-16? such as mobilenet、shufflenet. And how about the result comparing with vgg-16\r\n2、what the function of the \"net_params_best.pkl\" in content \"fc_model\" \r\n3、Do you plan to add distortion kind,such as \"sharpness\",in order to assess whether the enhance image is good or bad\r\nAgain,So excellent you work is!!!\r\nYou can repay with Chinese if possible."},"comment":{"url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch/issues/comments/536277833","html_url":"https://github.com/zwx8981/DBCNN-PyTorch/issues/10#issuecomment-536277833","issue_url":"https://api.github.com/repos/zwx8981/DBCNN-PyTorch/issues/10","id":536277833,"node_id":"MDEyOklzc3VlQ29tbWVudDUzNjI3NzgzMw==","user":{"login":"shenguquanxin","id":41544155,"node_id":"MDQ6VXNlcjQxNTQ0MTU1","avatar_url":"https://avatars2.githubusercontent.com/u/41544155?v=4","gravatar_id":"","url":"https://api.github.com/users/shenguquanxin","html_url":"https://github.com/shenguquanxin","followers_url":"https://api.github.com/users/shenguquanxin/followers","following_url":"https://api.github.com/users/shenguquanxin/following{/other_user}","gists_url":"https://api.github.com/users/shenguquanxin/gists{/gist_id}","starred_url":"https://api.github.com/users/shenguquanxin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/shenguquanxin/subscriptions","organizations_url":"https://api.github.com/users/shenguquanxin/orgs","repos_url":"https://api.github.com/users/shenguquanxin/repos","events_url":"https://api.github.com/users/shenguquanxin/events{/privacy}","received_events_url":"https://api.github.com/users/shenguquanxin/received_events","type":"User","site_admin":false},"created_at":"2019-09-29T10:04:44Z","updated_at":"2019-09-29T10:04:44Z","author_association":"NONE","body":"@zwx8981 太感谢了！\r\n我已经复现完您的模型（不包括S-cnn），基本可以达到论文水平。而且对自然图像评价比较准确。\r\n我测试了一些故意虚化的图像，就不是那么准确了，这可能也会目前IQA模型都没有解决的问题（测试了DeepIQA、RankIQA）。\r\n对您的工作和IQA非常感兴趣，持续关注。"}}
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