Grid Memory Outperforms Node Memory in Object Recall
Overview
FloWM's grid memory excels in object recall under partial observability, with higher efficiency and better tracking of unseen objects compared to node memory. Node memory struggles with motion beyond five velocities, while grid memory improves recall without visual input. arXiv:2610.18637v1 Latest: Grid memory reduces memory usage to 14KB vs. 5.6MB for node memory, enhancing efficiency in tracking objects out of view. arXiv:2610.18637v1
Generated from attributed reports · Updated 1 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · points higher in view for FloWM: 8 other · Basis not reported
“grid is read changes its score: a single-cell probe finds 66% of out-of-view blocks, while FloWM's own probe 89%. FloWM also scores 8 points higher in view although no frame is shown, which we attribute to its write-back of its own predictions. Out of view, the tracker reaches FloWM's range in 14KB against 5.6MB, with no probe. On diagonal motion, outside its five velocities, FloWM finds 11% of blocks even after fine”
Exact source · revision 1Source owner not reported
Reported quantity · size of tracker memory in KB: 14 other · Basis not reported
“grid is read changes its score: a single-cell probe finds 66% of out-of-view blocks, while FloWM's own probe 89%. FloWM also scores 8 points higher in view although no frame is shown, which we attribute to its write-back of its own predictions. Out of view, the tracker reaches FloWM's range in 14KB against 5.6MB, with no probe. On diagonal motion, outside its five velocities, FloWM finds 11% of blocks even after fine”
Exact source · revision 1Source owner not reported
Reported quantity · size of FloWM memory in MB: 5.6 other · Basis not reported
“grid is read changes its score: a single-cell probe finds 66% of out-of-view blocks, while FloWM's own probe 89%. FloWM also scores 8 points higher in view although no frame is shown, which we attribute to its write-back of its own predictions. Out of view, the tracker reaches FloWM's range in 14KB against 5.6MB, with no probe. On diagonal motion, outside its five velocities, FloWM finds 11% of blocks even after fine”
Exact source · revision 1Source owner not reported
Report timeline
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- arXiv Robotics — research abstractsWorld Models vs. Node Memory in Partial Observability
FloWM's grid memory outperforms node memory in object recall under partial observability, with higher scores and efficiency in tracking unseen objects. Node memory struggles with motion beyond five velocities, while FloWM's predictions improve recall despite no visual input.
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