Code release for webly supervised paper (ICCV'15)
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layers
subdiscover
.dropbox.attr
LICENSE
README.md

README.md

webly-supervised

Legacy code recovered from the project done for the webly-supervised network paper.

Please see the project website here, which includes models and data.

The code is divided into two parts:

  1. layers folder contains the loss function implemented to encode the relationship graph. Specifically, it computes the cross entropy between the soft-max output and the smoothed target category.

  2. subdiscover folder contains the code used to extract fc7 features for subcategory discovery -- finding bounding boxes of a category given weak, noisy (that is, webly) supervision of category labels for the entire image.