Open Tonyboy999 opened 3 years ago
I'm facing similar issues. Its worse than resnet. Were you able to figure out why?
Mine is not worse than resnet,it achieves similar effect as drn and a bit better than resnet. Just a little bit,but takes more time training.
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------------------ Original ------------------ From: Gaurav Fotedar @.> Date: Tue,Apr 20,2021 8:46 AM To: jfzhang95/pytorch-deeplab-xception @.> Cc: GuangzhouTony @.>, Author @.> Subject: Re: [jfzhang95/pytorch-deeplab-xception] Has someone tried efficientnet as backbone? (#198)
I'm facing similar issues. Its worse than resnet. Were you able to figure out why?
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Did you make any changes to efficientnet or its parameters ( dropout/drop_connect ) apart from removing the last layers?
Almost not,I only tune the model structure by changing the low level feature layer in efficientnet. I simply extracted the feature map
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------------------ Original ------------------ From: Gaurav Fotedar @.> Date: Wed,Apr 21,2021 2:35 PM To: jfzhang95/pytorch-deeplab-xception @.> Cc: GuangzhouTony @.>, Author @.> Subject: Re: [jfzhang95/pytorch-deeplab-xception] Has someone tried efficientnet as backbone? (#198)
Did you make any changes to efficientnet or its parameters ( dropout/drop_connect ) apart from removing the last layers?
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I think the effect of efficientnet may differ from different datasets.
发自我的iPhone
------------------ Original ------------------ From: Gaurav Fotedar @.> Date: Wed,Apr 21,2021 2:35 PM To: jfzhang95/pytorch-deeplab-xception @.> Cc: GuangzhouTony @.>, Author @.> Subject: Re: [jfzhang95/pytorch-deeplab-xception] Has someone tried efficientnet as backbone? (#198)
Did you make any changes to efficientnet or its parameters ( dropout/drop_connect ) apart from removing the last layers?
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
I think the effect of efficientnet may differ from different datasets
发自我的iPhone
------------------ Original ------------------ From: Gaurav Fotedar @.> Date: Wed,Apr 21,2021 2:35 PM To: jfzhang95/pytorch-deeplab-xception @.> Cc: GuangzhouTony @.>, Author @.> Subject: Re: [jfzhang95/pytorch-deeplab-xception] Has someone tried efficientnet as backbone? (#198)
Did you make any changes to efficientnet or its parameters ( dropout/drop_connect ) apart from removing the last layers?
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
Efficientnet was considered as the best CNN in 2019, and many competitors got great rank with unet + efficientnet. I tried to use efficientnet as the backbone of this project but got poor results.