Comments (7)
LikeLy-Journey
commented on May 25, 2024
i have not trained this model
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haibochina
commented on May 25, 2024
i have not trained this model
I am training now!
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linbaiwpi
commented on May 25, 2024
i have not trained this model
I am training now!
How is your training right now? Using the pre-trained Xception or training from scratch?
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haibochina
commented on May 25, 2024
It is still training now！ The result without pretrained model is 59 miou
发自我的iPhone
…------------------ Original ------------------
From: Lin Bai <[email protected]>
Date: Sat,Mar 14,2020 9:57 AM
To: LikeLy-Journey/SegmenTron <[email protected]>
Cc: haibo <[email protected]>, Author <[email protected]>
Subject: Re: [LikeLy-Journey/SegmenTron] Xception pretrained (#23)
i have not trained this model
I am training now!
How is your training right now? Using the pre-trained Xception or training from scratch?
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub, or unsubscribe.
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haliphinx
commented on May 25, 2024
@haibochina Hey, are you training the DFANet on the cityscape dataset? What's your final accuracy and what's the number of epoch in total to achieve that?
I trained it from scratch, but it stuck into around 30 miou from epoch 100.
Thanks!!
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haibochina
commented on May 25, 2024
@haliphinx I just trained XceptionA the way that shufflenet use. and just trained 30000 iterarion, then I trainied DFANet on cityscape, the mIOU is 68.9.
https://github.com/megvii-model/ShuffleNet-Series
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haliphinx
commented on May 25, 2024
@haibochina Thanks for your reply. The accuracy sounds great! I'm wondering if it's possible to share your pretrained XceptionA model please.
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Related Issues (20)
- PointRend with HardNet
- Bug in tool/demo.py HOT 3
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- how to reproduce deeplabv3+ with xception65 achieve 88% in pascal voc?
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