MarcCoru / beat-the-maml

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Is there a paper to accompany this?

robmarkcole opened this issue · comments

Thanks

yes, thanks for your interest.

it is based on a follow-up study with human participants to earlier work:
http://www.classic.grss-ieee.org/earthvision2020/july_stuff/webpage/papers/Russwurm_Meta-Learning_for_Few-Shot_Land_Cover_Classification_CVPRW_2020_paper.pdf (CVPR Earthvision 2020, best paper award)

This repo contains an app from a follow-up study was presented at IGARSS 2022 https://www.igarss2022.org/view_paper.php?PaperNum=2406
It seems that proceedings are not available yet, but the paper is here: https://github.com/MarcCoru/sen12ms-human-few-shot-classifier/blob/master/IGARSS2022_HumanFewShotClassifiers.pdf

I am refining a gamified version for a demo EPFL event and putting it on an available IP. (screenshot attached)
Screenshot from 2022-08-24 12-43-15

If you decide to tweet about it at some point, it would be great to give me some time to implement final tweaks.

Thanks

HI @MarcCoru
correct I will include in my repo and a tweet would be great! I might let you do the honour and then I can share it? Also can I interest you in making a post on https://www.linkedin.com/groups/12698393/ ?

@robmarkcole
many thanks. I put the app online now and shared in a message in the LinkedIn group ( https://www.linkedin.com/groups/12698393/)
and Twitter
https://twitter.com/MarcCoru/status/1571427673313869824

It would be great if you could retweet

Many thanks

Fantastic, shared!