I am confused about Feature flow learning in section 3.2.1. You have written that ' The explicit flow supervision is only given at the finest scale (i.e. 1) and only between the consecutive two frames', but in the section 3.3, you defined the flow loss combine all flows that from other frame to current frame. Could you help me to understand this diff?
I am confused about Feature flow learning in section 3.2.1. You have written that ' The explicit flow supervision is only given at the finest scale (i.e. 1) and only between the consecutive two frames', but in the section 3.3, you defined the flow loss combine all flows that from other frame to current frame. Could you help me to understand this diff?