Hi John,

I am having a little trouble with understanding your email from January
15th. Could you perhaps state your question or point in a different way?

Pine <https://meta.wikimedia.org/wiki/User:Pine>
<https://en.wikipedia.org/wiki/User:CatherineMunro/Bright_Places>

On Mon, Jan 15, 2018 at 5:55 AM, John Erling Blad <jeb...@gmail.com> wrote:

> This is the same as the entry on the wishlist for 2016, but describes the
> actual method.
> https://meta.wikimedia.org/wiki/2016_Community_Wishlist_
> Survey/Categories/Commons#Use_computer_vision_to_propose_categories
>
> Both contrastive and triplet loss can be used while learning, but neither
> are described at Wikipedia.
>
> On Sun, Jan 14, 2018 at 8:16 PM, Pine W <wiki.p...@gmail.com> wrote:
>
> > Hi John,
> >
> > I have not heard of an initiative to use Siamese neural networks for
> image
> > classifications on on Commons. You might make a suggestion on the AI,
> > Research, and/or Commons mailing lists regarding this idea. You might
> also
> > make a suggestion in IdeaLab
> > <https://meta.wikimedia.org/wiki/Grants:IdeaLab>.
> >
> > Pine <https://meta.wikimedia.org/wiki/User:Pine>
> > <https://en.wikipedia.org/wiki/User:CatherineMunro/Bright_Places>
> >
> > On Sun, Jan 14, 2018 at 3:46 AM, John Erling Blad <jeb...@gmail.com>
> > wrote:
> >
> > > Has anyone tried to use a Siamese neural network for image
> classification
> > > at Commons? I don't know if it will be good enough to run in autonomous
> > > mode, but it will probably be a huge help for those that do manual
> > > classification.
> > >
> > > Imagine a network providing a list of possible categories, and the user
> > > just ticks off usable categories.
> > >
> > > A Siamese network can be learned by using a triplet loss function,
> where
> > > the anchor and the positive candidate comes from the same category, and
> > the
> > > negative candidate comes from an other category but are otherwise close
> > to
> > > the anchor.
> > >
> > > Output from the network is like a fingerprint, and those fingerprints
> can
> > > be compared to other images with known fingerprints, or against a
> > > generalized fingerprint for a category.
> > >
> > > John Erling Blad
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