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Published 20 hours ago • verified publisher icon HRNet

performance of pascal-context

Open Margrate opened this issue 3 years ago • 4 comments

I got mIoU=51.42 (59 classes) and mIoU=46.58(60 classes) which was a great gap compared with paper image

Margrate avatar Sep 01 '21 07:09 Margrate

Hi there I got mIOU also around 51 for 59 classes. But it took me at least 2 weeks to train on 4 GPUs (TiTan Xp) for 200 epochs. May I ask whats your training time ?

johnny-wang16 avatar Sep 12 '21 12:09 johnny-wang16

You should test with flip and multi scale. My training time is about 20 hours

---Original--- From: @.> Date: Sun, Sep 12, 2021 20:57 PM To: @.>; Cc: @.@.>; Subject: Re: [HRNet/HRNet-Semantic-Segmentation] performance of pascal-context (#240)

Hi there I got mIOU also around 51 for 59 classes. But it took me at least 2 weeks to train on 4 GPUs (TiTan Xp). May I ask whats your training time ?

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Margrate avatar Sep 13 '21 03:09 Margrate

加我的微信交流  1137096314

---Original--- From: @.> Date: Sun, Sep 12, 2021 20:57 PM To: @.>; Cc: @.@.>; Subject: Re: [HRNet/HRNet-Semantic-Segmentation] performance of pascal-context (#240)

Hi there I got mIOU also around 51 for 59 classes. But it took me at least 2 weeks to train on 4 GPUs (TiTan Xp). May I ask whats your training time ?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

Margrate avatar Sep 13 '21 03:09 Margrate

Hi Margrate. Thanks for the info! which branch are you on and do you have to change any code to get it working ?

johnny-wang16 avatar Sep 13 '21 14:09 johnny-wang16