{"action":"created","issue":{"url":"https://api.github.com/repos/msracver/FCIS/issues/130","repository_url":"https://api.github.com/repos/msracver/FCIS","labels_url":"https://api.github.com/repos/msracver/FCIS/issues/130/labels{/name}","comments_url":"https://api.github.com/repos/msracver/FCIS/issues/130/comments","events_url":"https://api.github.com/repos/msracver/FCIS/issues/130/events","html_url":"https://github.com/msracver/FCIS/issues/130","id":301242975,"number":130,"title":"Slightly Lower Accurancy Using One GPU","user":{"login":"zhaodongsun","id":33407223,"avatar_url":"https://avatars0.githubusercontent.com/u/33407223?v=4","gravatar_id":"","url":"https://api.github.com/users/zhaodongsun","html_url":"https://github.com/zhaodongsun","followers_url":"https://api.github.com/users/zhaodongsun/followers","following_url":"https://api.github.com/users/zhaodongsun/following{/other_user}","gists_url":"https://api.github.com/users/zhaodongsun/gists{/gist_id}","starred_url":"https://api.github.com/users/zhaodongsun/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhaodongsun/subscriptions","organizations_url":"https://api.github.com/users/zhaodongsun/orgs","repos_url":"https://api.github.com/users/zhaodongsun/repos","events_url":"https://api.github.com/users/zhaodongsun/events{/privacy}","received_events_url":"https://api.github.com/users/zhaodongsun/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-03-01T01:09:38Z","updated_at":"2018-04-21T15:28:50Z","closed_at":null,"author_association":"NONE","body":"I trained the model with VOC2012 for 22 epochs using only one GPU. I got lower accuracy and the results are as follows.\r\n~~~~~~ Evaluation use min overlap = 0.5 ~~~~~~\r\nAP for aeroplane = 78.25\r\nAP for bicycle = 67.41\r\nAP for bird = 68.85\r\nAP for boat = 50.60\r\nAP for bottle = 43.26\r\nAP for bus = 79.10\r\nAP for car = 66.94\r\nAP for cat = 83.90\r\nAP for chair = 42.19\r\nAP for cow = 62.62\r\nAP for diningtable = 38.98\r\nAP for dog = 79.50\r\nAP for horse = 72.32\r\nAP for motorbike = 72.79\r\nAP for person = 74.51\r\nAP for pottedplant = 42.56\r\nAP for sheep = 69.52\r\nAP for sofa = 48.73\r\nAP for train = 76.39\r\nAP for tvmonitor = 63.45\r\nMean AP@0.5 = 64.09\r\n~~~~~~ Evaluation use min overlap = 0.7 ~~~~~~\r\nAP for aeroplane = 62.14\r\nAP for bicycle = 46.08\r\nAP for bird = 56.93\r\nAP for boat = 33.01\r\nAP for bottle = 33.32\r\nAP for bus = 74.46\r\nAP for car = 55.02\r\nAP for cat = 74.52\r\nAP for chair = 23.84\r\nAP for cow = 49.38\r\nAP for diningtable = 25.06\r\nAP for dog = 69.40\r\nAP for horse = 51.32\r\nAP for motorbike = 54.13\r\nAP for person = 53.81\r\nAP for pottedplant = 26.13\r\nAP for sheep = 50.61\r\nAP for sofa = 33.74\r\nAP for train = 65.45\r\nAP for tvmonitor = 53.82\r\nMean AP@0.7 = 49.61\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/msracver/FCIS/issues/comments/383305246","html_url":"https://github.com/msracver/FCIS/issues/130#issuecomment-383305246","issue_url":"https://api.github.com/repos/msracver/FCIS/issues/130","id":383305246,"user":{"login":"rogerwwww","id":18309862,"avatar_url":"https://avatars0.githubusercontent.com/u/18309862?v=4","gravatar_id":"","url":"https://api.github.com/users/rogerwwww","html_url":"https://github.com/rogerwwww","followers_url":"https://api.github.com/users/rogerwwww/followers","following_url":"https://api.github.com/users/rogerwwww/following{/other_user}","gists_url":"https://api.github.com/users/rogerwwww/gists{/gist_id}","starred_url":"https://api.github.com/users/rogerwwww/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rogerwwww/subscriptions","organizations_url":"https://api.github.com/users/rogerwwww/orgs","repos_url":"https://api.github.com/users/rogerwwww/repos","events_url":"https://api.github.com/users/rogerwwww/events{/privacy}","received_events_url":"https://api.github.com/users/rogerwwww/received_events","type":"User","site_admin":false},"created_at":"2018-04-21T15:28:50Z","updated_at":"2018-04-21T15:28:50Z","author_association":"NONE","body":"Hi @zhaodongsun, \r\nGenerally larger batch means faster convergence, while smaller batch will lead to higher accuracy with more epochs. You may have a try😃 "}}
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