Multi label support #1380
Multi label support #1380
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It assumes labels are a vector of {-1,0,1} with -1 for negative, 1 for positive and 0 ignore
Conflicts:
src/caffe/proto/caffe.proto
Conflicts: src/caffe/layers/multi_label_accuracy_layer.cpp src/caffe/test/test_multi_label_accuracy_layer.cpp Forgot to fill the precision and f1-score in top Conflicts: src/caffe/layers/multi_label_accuracy_layer.cpp
Original source: dae5300 by sguada The merge conflicts are too many, so the original code is adapted and inserted manually onto the current dev branch.
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With @mtamburrano we have starter to test this also merging your indirect layer branch. Do you still want to use the same sigmoid cross entropy changes done in @sguada PR? |
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@bhack I am going to finish the implementation of As for the @sguada PR, I have already cleaned up the core of it in this branch, minus the part that would be rendered obsolete by |
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@bhack , @sguada ,recently i am trying to implement the work in Street View House Number (pag. 13 http://arxiv.org/pdf/1312.6082v4.pdf), and i have a question, how can we write a global loss, and back propogate the loss the the multiple softmax layer? thanks |
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I've followed #523 to here, I'm wondering when will this be merged into dev or master? |
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Same here, waiting for this to be merged. |
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should this assignment outside for loop?
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@netheril96 can you provide a example net definition showing how to use multi-label loss layers? |
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when i try to built this pr i get the following error |
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@netheril96, has this been abandoned? |
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@danielhauagge I think that core developers want to declare this solved with #1698. So I think that will be hard to have multi label support from text file like with this PR. |
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I have succesfully implemented multilabel support along with a soft max loss function. Will plan to submit a PR after ICCV deadline. I don't know why multi-label doesn't have support, it being a potentially important feature. @netheril96 @bhack |
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Yes, I abandoned this PR. |
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@sayanghosh can you share your work on multilabel support? |
This is an attempt to clean up and improve upon @sguada work in #523. It is a work in progress, not ready for merge yet.