Codes-for-IntRA-KD
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cardwing
ERFNet-SAD
When you do ERFNet-SAD, can you tell me exactly which layer learns from which? I've tried to implement ERFNet-SAD but can't find a way at it, at the moment.
cc @cardwing
I'm might have talked about doing ERFNet-SAD in your other repo, but I can't remember where... So I opened a new one here.
Can you refer to the issues in that repo? It's hard for me to give you the answer as many old codes have been cleaned several days ago.
Can you refer to the issues in that repo? It's hard for me to give you the answer as many old codes have been cleaned several days ago.
I mean I mentioned implementing ERFNet-SAD in TuSimple, but I failed as of yet.
@cardwing Found it (finally) here. It was a non-related old and closed issue, I think we should move the discussions here since it is in this paper ERFNet-SAD is introduced.
You see I'm working on a unified framework in pytorch that do not rely on lua or matlab (we have already adapted ERFNet from your older pytorch version codes and achieved slightly better performance): https://github.com/voldemortX/pytorch-auto-drive
I'd love to have SAD added in the best backbone in the framework (ERFNet). But I want to do it right so can I have some more references, such as where the SAD loss is added?