> the highest accuracy 56.8% AP among all known real-time object detectors with 30 FPS or higher
Yikes. It's not clear to me if that's the upper limit on accuracy or a limit imposed by requiring that it run at 30 FPS, but still...yikes.
Yikes. It's not clear to me if that's the upper limit on accuracy or a limit imposed by requiring that it run at 30 FPS, but still...yikes.
From the paper:
> For example, multi-object track- ing [94, 93], autonomous driving [40, 18], robotics [35, 58], medical image analysis [34, 46], etc.
LOL, these are all great use cases for a model with < 60% accuracy!
Because distinguishing an object as belonging to one class out of a thousand with 50% accuracy doesn't mean it's a coin flip. You'd need a thousand-sided coin. Random chance in that case is 0.1%, which maeks 50% way, way better.
This is definitely not a coin flip, actually somehow close to what a human would produce, IMHO.
I assure you it’s highly useful in the real, real world.