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Context module training implementation plans

Open OliverColeman opened this issue 7 years ago • 3 comments

Thanks for creating this implementation. Do you have any plans to implement training of the context module (to allow producing full resolution segmentation maps)?

OliverColeman avatar Aug 16 '17 22:08 OliverColeman

I'm really interested in training the context module too. Main reason I wish to use this model is for the high res. segmentation prediction.

Is it complex to do - could you guide us on how to do it?

cclough avatar Nov 15 '17 14:11 cclough

I don't think it would be complex, but I didn't get around to it back when I implemented this. Do you think this is still a competitive architecture?

nicolov avatar Nov 15 '17 16:11 nicolov

Thanks for the quick reply. Yes this fits a niche - it's a better architecture than FCN & SegNet, but doesn't require 8 GPUs to train like the latest 'RefineNet's etc. It's also such nice and simple code in Keras. I can't get, for example DeepLab V2, in Keras....

If you implement it (or guide me on how), I would love to use it.

Christian

cclough avatar Nov 15 '17 21:11 cclough