Hello everyone,
I was wondering how to approach the problem of image retrieval. There are a lot of loss functions that relate to positive and negative examples for every anchor example in the training set, and while it is easy to setup triplets of samples (anchor, positive , negative) I do not understand which loss function would be appropriate to be able to retrieve images similar to the original.
As a sidenote, it would be best if the same model could be used on all 3 images without tripling the memory requirements, in case that is possible.
Any ideas?