Or one photo rotated 36 times during training? Instead of having CNN with just translation invariance, you can have one with rotational invariance as well. Hum

Or one photo rotated 36 times during training? Instead of having CNN with just translation invariance, you can have one with rotational invariance as well. Humans see video; it's easier to derive stuff from videos than from static photos. It's awesome we can teach a car to drive from single photos, but those models that incorporate time factor, 3D convolutions + RNNs, perform better...