larryobrien t1_ixxtepk wrote on November 27, 2022 at 5:25 AM

Reply to comment by anonymousTestPoster in [P] Metric learning: theory, practice, code examples by Zestyclose-Check-751

I think it's just the emergence of the term for "that kind" of approach. I use metric learning for low k-shot reidentification and it's very well-trodden ground from a research perspective, but it's helpful to distinguish it from a plain-vanilla classification approach.

anonymousTestPoster t1_ixxy7qq wrote on November 27, 2022 at 6:20 AM

Do you have any papers or python library that does what you are saying?

Zestyclose-Check-751 OP t1_ixym8je wrote on November 27, 2022 at 11:58 AM

So, I don't know all of the details but seems like OpenMetricLearning may be a good choice to train such a model.

larryobrien t1_ixzhftg wrote on November 27, 2022 at 4:39 PM

I've been hoping to look at OP's Open Metric Learning but have been using Pytorch Metric Learning.

Zestyclose-Check-751 OP t1_ixzj29n wrote on November 27, 2022 at 4:50 PM

In OML's FAQ, you can read about the differences between these two libraries. They are about a bit different things. In the end, you can use losses from PML in OML :)