See Phi-Sat 1 and to a lesser extent EO-1 as someone else mentioned. Phi-Sat 2 is going up at some point. I'm on a team of researchers working on this. We looked at flood detection as a case study, but as you say, almost all the demonstrators at the moment focus on reducing unnecessary data transfer. Happy to answer questions about the state of the industry/research.
But there are undoubtedly lots of other people/companies/militaries exploring. We didn't build the hardware for example, and we weren't the only experiment onboard our flight. The main differentiator is how many have actually deployed in space. It's very easy to show that you can run a model on an accelerator, but getting it in-orbit somehow, testing it on real imagery from new sensors, etc. The challenge is that most people will have to train a model on simulated data, fly a cubesat or another small platform and then re-train their model to adapt to images from orbital images. Aerial imagery models don't always transfer well to satellite images.
My take having been to conferences, and speaking to others in the field, is that there are a lot more researchers interested (as of 2022) and we'll start to see more publicly deployed experiments in the next year or two.
https://www.nature.com/articles/s41598-021-86650-z
https://europepmc.org/article/ppr/ppr534649
Also some work on unsupervised change detection:
https://www.nature.com/articles/s41598-022-19437-5
But there are undoubtedly lots of other people/companies/militaries exploring. We didn't build the hardware for example, and we weren't the only experiment onboard our flight. The main differentiator is how many have actually deployed in space. It's very easy to show that you can run a model on an accelerator, but getting it in-orbit somehow, testing it on real imagery from new sensors, etc. The challenge is that most people will have to train a model on simulated data, fly a cubesat or another small platform and then re-train their model to adapt to images from orbital images. Aerial imagery models don't always transfer well to satellite images.
My take having been to conferences, and speaking to others in the field, is that there are a lot more researchers interested (as of 2022) and we'll start to see more publicly deployed experiments in the next year or two.