Hello, Thanks a lot for your input.

A discriminator could be a great idea. Any idea on the kind of model efficient for such a task. I'm not sure a CNN is required for such a simple job.

Nowadays, I ouput label + probabilities, however detection threshold can sometimes be around 20% or 70%. I could of course design label-specific threshold, but it doesn't seem to be the correct way.

Or sometimes there is an object in front of me, but not any I know to classify. I would like to be able to detect that this object I don't know.

Concerning entropy, I would definitely give it a shot ! Very nice idea.

Any of you may know a system implementing such behaviour (e.g. I don't detect any object, I don't know this object) ?

Thanks a lot for your help.