Earlier quoted context omitted.
That's not unusual for computer vision (or any kind of sensor really), that kind of data is normally filtered and smoothed after that, and merged with previous frames or other sensors. What would be worrying is the model misclassifying an object, not detecting it at all, or having the bounding box consistently off.
> That's not unusual for computer vision (or any kind of sensor really), [...] Including human vision. The raw sensory data is pretty messy, and with some ingenious experiments some researchers can get a glimpse of exactly how messy.
The research on GANs also shows how computers can be fooled by things that wouldn't confuse humans.